Home page of Lev V. Utkin

Home page of Lev V. Utkin

Kirpichenko SR, Utkin LV, Konstantinov AV and Muliukha VA (2024), "BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect", Algorithms. vol 17(1), pp. 40

BibTeX:


@article{Kirpichenko-etal-24,
	author = {S. Kirpichenko and L. Utkin and A. Konstantinov and V. Muliukha},
	journal = {Algorithms},
	number = {1},
	pages = {40},
	title = {{BENK}: The {B}eran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect},
	volume = {17},
	year = {2024}}

Konstantinov AV and Utkin LV (2024), "Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning", arXiv:2402.14726, Feb, 2024.

BibTeX:

@unpublished{Konstantinov-Utkin-24,
	author = {A.V. Konstantinov and L.V. Utkin},
	month = {Feb},
	note = {arXiv:2402.14726},
	title = {Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning},
	year = {2024}}

Konstantinov AV, Kirpichenko SR, and Utkin LV (2024), "Generating Survival Interpretable Trajectories and Data", arXiv:2402.12331, Feb., 2024.

BibTeX:

  @unpublished{Konstantinov-etal-24b,
    author = {Andrei V. Konstantinov and Stanislav R. Kirpichenko and Lev V. Utkin},
    month = {Feb},
    note = {arXiv:2402.12331},
    title = {Generating Survival Interpretable Trajectories and Data},
    year = {2024}}

Konstantinov AV, Kozlov BV, Kirpichenko SR, and Utkin LV (2024), "Dual feature-based and example-based explanation methods", arXiv:2401.16294, Jan, 2024.

BibTeX:

  @unpublished{Konstantinov-etal-24a,
    author = {Andrei V. Konstantinov and Boris V. Kozlov and Stanislav R. Kirpichenko and Lev V. Utkin},
    month = {Jan},
    note = {arXiv:2401.16294},
    title = {Dual feature-based and example-based explanation methods},
    year = {2024}}

Konstantinov AV and Utkin LV (2023), "Interpretable Ensembles of Hyper-Rectangles as Base Models", Neural Computing and Applications, vol.35, pp.21771-21795, 2023.

BibTeX:

@article{Konstantinov-Utkin-23,
	author = {A.V. Konstantinov and L.V. Utkin},
	journal = {Neural Computing and Applications},
	volume = {35},
	pages = {21771--21795},
	title = {Interpretable Ensembles of Hyper-Rectangles as Base Models},
	year = {2023}
}

Konstantinov AV and Utkin LV (2023), "A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints", Doklady Mathematics, Vol.108, pp.233-241, 2023.

BibTeX:

@article{Konstantinov-Utkin-23f,
	author = {A.V. Konstantinov and L.V. Utkin},
	doi = {10.1134/S1064562423701077},
	journal = {Doklady Mathematics},
	pages = {233--241},
	title = {A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints},
	volume = {108},
	year = {2023}}

Konstantinov AV and Utkin LV (2023), "A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints", arXiv:2307.10459, July, 2023.

BibTeX:

  @unpublished{Konstantinov-Utkin-23c,
    author = {A.V. Konstantinov and L.V. Utkin},
    month = {Jul},
    note = {arXiv:2307.10459},
    title = {A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints},
    year = {2023}}

Utkin LV, Eremenko DY and Konstantinov AV (2023), "SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models", arXiv: 2312.06638, Dec, 2023.

BibTeX:

@unpublished{Utkin-Eremenko-Konstantinov-23a,
	author = {L.V. Utkin and D.Y. Eremenko and A.V. Konstantinov},
	month = {Dec},
	note = {2312.06638},
	title = {Surv{B}e{NIM}: The {B}eran-Based Neural Importance Model for Explaining the Survival Models},
	year = {2023}}

Utkin LV, Eremenko DY and Konstantinov AV (2023), "SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator", arXiv:2308.03730, Aug, 2023.

BibTeX:

@unpublished{Utkin-Eremenko-Konstantinov-23,
	author = {L.V. Utkin and D.Y. Eremenko and A.V. Konstantinov},
	month = {Aug},
	note = {arXiv:2308.03730},
	title = {Surv{B}e{X}: An explanation method of the machine learning survival models based on the {B}eran estimator},
	year = {2023}}

Zaborovsky VS, Utkin LV, Muliukha VA and Lukashin AA (2023), "Improving Efficiency of Hybrid HPC Systems Using a Multi-agent Scheduler and Machine Learning Methods", Supercomputing Frontiers and Innovations, vol.10(2), pp.104-126, 2023.

BibTeX:

@article{Zaborovsky-etal-23,
	author = {V.S. Zaborovsky and L.V. Utkin and V.A. Muliukha and A.A. Lukashin},
	journal = {Supercomputing Frontiers and Innovations},
	volume = {10},
	number = {2},
	pages = {104--126},
	title = {Improving Efficiency of Hybrid {HPC} Systems Using a Multi-agent Scheduler and Machine Learning Methods},
	year = {2023}
}

Konstantinov AV, Utkin LV, Muliukha VA, Zaborovsky VS (2023), "GBMILs: Gradient Boosting Models for Multiple Instance Learning", In nteractive Collaborative Robotics. ICR 2023. Lecture Notes in Computer Science. vol. 14214, Springer, Cham, pp.233–-245.

BibTeX:

@inproceedings{Konstantinov-etal-23d,
	author = {A.V. Konstantinov and L.V. Utkin and V.A. Muliukha and V.S. Zaborovsky},
	booktitle = {Interactive Collaborative Robotics. ICR 2023. Lecture Notes in Computer Science},
	doi = {10.1007/978-3-031-43111-1_21},
	pages = {233--245},
	publisher = {Springer, Cham},
	volume = {14214}
	title = {{GBMIL}s: Gradient Boosting Models for Multiple Instance Learning},
	year = {2023}
}

Konstantinov AV, Utkin LV, Lukashin AA, Muliukha VA (2023), "Neural Attention Forests: Transformer-Based Forest Improvement", In Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Lecture Notes in Networks and Systems. vol. 776, Springer, Cham, pp.158--167.

BibTeX:

@inproceedings{Konstantinov-etal-23e,
	author = {A.V. Konstantinov and L.V. Utkin and A.A. Lukashin and V.A. Muliukha},
	booktitle = {Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23). IITI 2023. Lecture Notes in Networks and Systems},
	doi = {10.1007/978-3-031-43789-2_14},
	pages = {158--167},
	publisher = {Springer, Cham},
	volume = {776}
	title = {Neural Attention Forests: Transformer-Based Forest Improvement},
	year = {2023}
}

Utkin LV, Konstantinov AV, Politaeva NA (2023), "Attention-Based Random Forests and the Imprecise Pari-Mutual Model", Cyber-Physical Systems Engineering and Control. Studies in Systems, Decision and Control. Vol.477, Springer, Cham, pp.65-77

BibTeX:


@incollection{Utkin-etal-23a,
	author = {L.V. Utkin and A.V. Konstantinov and N.A. Politaeva},
	booktitle = {Cyber-Physical Systems Engineering and Control},
	pages = {65--77},
	publisher = {Springer, Cham},
	series = {Studies in Systems, Decision and Control},
	title = {Attention-Based Random Forests and the Imprecise Pari-Mutual Model},
	volume = {477},
	year = {2023}}

Konstantinov AV, Utkin LV and Muliukha VA (2023), "Multiple Instance Learning with Trainable Soft Decision Tree Ensembles", Algorithms. vol 16(8), pp. 358

BibTeX:


@article{Konstantinov-etal-23d,
	author = {A. Konstantinov and L. Utkin and V. Muliukha},
	journal = {Algorithms},
	number = {8},
	pages = {358},
	title = {Multiple Instance Learning with Trainable Soft Decision Tree Ensembles},
	volume = {16},
	year = {2023}}

Konstantinov AV, Utkin LV and Muliukha VA (2023), "LARF: Two-Level Attention-Based Random Forests with a Mixture of Contamination Models", Informatics. vol 10(2), pp.40

BibTeX:



@article{Konstantinov-etal-23c,
	author = {A.V. Konstantinov and L.V. Utkin and V.A. Muliukha},
	journal = {Informatics},
	number = {2},
	pages = {40},
	title = {LARF: Two-Level Attention-Based Random Forests with a Mixture of Contamination Models},
	volume = {10},
	year = {2023}}

Konstantinov AV, Utkin LV, Lukashin AA and Muliukha VA (2023), "Neural Attention Forests: Transformer-Based Forest Improvement", arXiv:2304.05980, Apr., 2023.

BibTeX:

@unpublished{Konstantinov-etal-23a,
	author = {A.V. Konstantinov and L.V. Utkin and A.A. Lukashin and V.A. Muliukha},
	month = {Apr},
	note = {arXiv:2304.05980},
	title = {Neural Attention Forests: Transformer-Based Forest Improvement},
	year = {2023}}

Konstantinov AV, Utkin LV (2023), "Interpretable Ensembles of Hyper-Rectangles as Base Models", arXiv:2303.08625, Mar., 2023.

BibTeX:

@unpublished{Konstantinov-Utkin-23a,
	author = {A.V. Konstantinov and L.V. Utkin},
	month = {Mar},
	note = {arXiv:2303.08625},
	title = {Interpretable Ensembles of Hyper-Rectangles as Base Models},
	year = {2023}}

Konstantinov AV, Utkin LV (2023), "Multiple Instance Learning with Trainable Decision Tree Ensembles", arXiv:2302.06601, Feb., 2023.

BibTeX:


@unpublished{Konstantinov-Utkin-23b,
	author = {A.V. Konstantinov and L.V. Utkin},
	month = {Feb},
	note = {arXiv:2302.06601},
	title = {Multiple Instance Learning with Trainable Decision Tree Ensembles},
	year = {2023}}

Utkin LV, Ageev AV, Konstantinov AV and Muliukha VA (2023), "Improved Anomaly Detection by Using the Attention-Based Isolation Forest", Algorithms. vol 16(1), pp. 19

BibTeX:

@article{Utkin-etal-23,
	author = {L.V. Utkin and A.Y. Ageev and A.V. Konstantinov and V.A. Muliukha},
	doi = {10.3390/a16010019},
	journal = {Algorithms},
	number = {1},
	pages = {19},
	title = {Improved Anomaly Detection by Using the Attention-Based Isolation Forest},
	volume = {16},
	year = {2023}}

Utkin LV and Konstantinov AV (2022), "Attention-based Random Forest and Contamination Model", Neural Networks. Vol.154, pp.346--359

BibTeX:

@article{Utkin-Konstantinov-22,
	author = {L.V. Utkin and A.V. Konstantinov},
	journal = {Neural Networks},
	pages = {346--359},
	title = {Attention-based Random Forest and Contamination Model},
	volume = {154},
	year = {2022},
	doi={10.1016/j.neunet.2022.07.029}
}

Konstantinov AV and Utkin LV (2022), "Multi-attention multiple instance learning", Neural Computing and Applications, vol. 34 pp.14029-14051

BibTeX:

@article{Konstantinov-Utkin-22f,
	author = {A.V. Konstantinov and L.V. Utkin},
	journal = {Neural Computing and Applications},
	pages = {14029--14051},
	title = {Multi-attention multiple instance learning},
	volume = {34},
	doi = {10.1007/s00521-022-07259-5}
	year = {2022}}

Konstantinov AV and Utkin LV (2022), "Attention-like feature explanation for tabular data", International Journal of Data Science and Analytics.

BibTeX:

@article{Konstantinov-Utkin-22e,
	author = {A.V. Konstantinov and L.V. Utkin},
	doi = {10.1007/s41060-022-00351-y},
	journal = {International Journal of Data Science and Analytics},
	title = {Attention-like feature explanation for tabular data},
	year = {2022}
}

Utkin LV, Satyukov ED and Konstantinov AV (2022), "SurvNAM: The machine learning survival model explanation", Neural Networks. Vol.147, pp.81--102

BibTeX:

@article{Utkin-Satyukov-Konstantinov-22,
  author  = {L.V. Utkin and E.D. Satyukov and A.V. Konstantinov},
  journal = {Neural Networks},
  title   = {SurvNAM: The machine learning survival model explanation},
  year    = {2022},
  pages   = {81--102},
  volume  = {147},
  doi     = {10.1016/j.neunet.2021.12.015},
}

Utkin LV and Konstantinov AV (2022), "Random Survival Forests Incorporated by the Nadaraya-Watson Regression", Informatics and Automation. vol 21(5), pp. 851-880

BibTeX:

@article{Utkin-Konstantinov-22d,
	author = {L.V. Utkin and A.V. Konstantinov},
	journal = {Informatics and Automation},
	number = {5},
	pages = {851--880},
	title = {Random Survival Forests Incorporated by the Nadaraya-Watson Regression},
	volume = {21},
	year = {2022}}

Utkin LV and Konstantinov AV (2022), "Ensembles of Random SHAPs", Algorithms. vol 15(11), pp. 431

BibTeX:

@article{Utkin-Konstantinov-22n,
	author = {L.V. Utkin and A.V. Konstantinov},
	doi = {10.3390/a15110431},
	journal = {Algorithms},
	number = {11},
	pages = {431},
	title = {Ensembles of Random SHAPs},
	volume = {15},
	year = {2022}}

Konstantinov AV, Utkin LV, Kirpichenko SR, Kozlov BV and Ageev AY (2022), "Random Forests with Attentive Nodes", Procedia Computer Science, vol. 212 pp.454-463

BibTeX:

  @article{Konstantinov-etal-22g,
    author = {A.V. Konstantinov and L.V. Utkin and S.R. Kirpichenko and B.V. Kozlov and A.Y. Ageev},
    journal = {Procedia Computer Science},
    pages = {454--463},
    title = {Random Forests with Attentive Nodes},
    volume = {212},
    year = {2022}}

Konstantinov AV and Utkin LV (2022), "Multiple Instance Learning through Explanation by Using a Histopathology Example", In Proceedings of the 31st Conference of Open Innovations Association (FRUCT). Helsinki, Finland , pp. 102-108.

BibTeX:

@inproceedings{Konstantinov-Utkin-22c,
	author = {A.V. Konstantinov and L.V. Utkin},
	booktitle = {31st Conference of Open Innovations Association (FRUCT)},
	doi = {10.23919/FRUCT54823.2022.9770901},
	pages = {102--108},
	publisher = {IEEE},
	title = {Multiple Instance Learning through Explanation by Using a Histopathology Example},
	year = {2022}
}

Konstantinov AV, Utkin LV and Kirpichenko SR (2022), "AGBoost: Attention-based Modification of Gradient Boosting Machine", In Proceedings of the 31st Conference of Open Innovations Association (FRUCT). Helsinki, Finland , pp. 96--101.

BibTeX:

@inproceedings{Konstantinov-Utkin-22d,
	author = {A.V. Konstantinov and L.V. Utkin and S.R. Kirpichenko},
	booktitle = {31st Conference of Open Innovations Association (FRUCT)},
	doi = {110.23919/FRUCT54823.2022.9770928},
	pages = {96--101},
	publisher = {IEEE},
	title = {AGBoost: Attention-based Modification of Gradient Boosting Machine},
	year = {2022}
}

Utkin LV, Konstantinov AV (2022), "An Extension of the Neural Additive Model for Uncertainty Explanation of Machine Learning Survival Models", Cyber-Physical Systems: Intelligent Models and Algorithms. Studies in Systems, Decision and Control. Vol.417, Springer, Cham, pp.3-13

BibTeX:

@inproceedings{Utkin-Konstantinov-2022g,
	author = {L.V. Utkin and A.V. Konstantinov},
	booktitle = {Cyber-Physical Systems: Intelligent Models and Algorithms. Studies in Systems, Decision and Control},
	doi = {10.1007/978-3-030-95116-0_1},
	volume = {417}
	pages = {3-13},
	publisher = {Springer, Cham},
	title = {An Extension of the Neural Additive Model for Uncertainty Explanation of Machine Learning Survival Models},
	year = {2022}}

Utkin LV, Konstantinov AV (2022), "Attention and Self-Attention in Random Forests", arXiv:2207.04293, Jul., 2022.

BibTeX:

@unpublished{Utkin-Konstantinov-22c,
	author = {L.V. Utkin and A.V. Konstantinov},
	month = {Jul},
	note = {arXiv:2207.04293},
	title = {Attention and Self-Attention in Random Forests},
	doi = {10.48550/arXiv.2207.04293},
	year = {2022}}

Kirpichenko SR, Utkin LV and Konstantinov AV (2022), "BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect", arXiv:2211.10793, Nov., 2022.

BibTeX:

@unpublished{Kirpichenko-etal-22,
	author = {S.R. Kirpichenko and L.V. Utkin and A.V. Konstantinov},
	month = {Nov},
	note = {arXiv: 2211.10793},
	title = {{BENK}: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect},
	year = {2022}}

Konstantinov AV, Kirpichenko SR and Utkin LV (2022), "Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression", arXiv:2207.09139, Jul., 2022.

BibTeX:

@unpublished{Utkin-etal-22a,
	author = {A.V. Konstantinov and S.R. Kirpichenko and L.V. Utkin},
	month = {Jul},
	note = {arXiv:2207.09139},
	title = {Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression},
	doi - {10.48550/arXiv.2207.09139},
	year = {2022}}

Utkin LV, Konstantinov AV (2022), "Attention-based Random Forest and Contamination Model", arXiv:2201.02880, Jan., 2022.

BibTeX:

@unpublished{Utkin-Konstantinov-22a,
	author = {L.V. Utkin and A.V. Konstantinov},
	month = {Jan},
	note = {arXiv:2201.02880},
	title = {Attention-based Random Forest and Contamination Model},
	year = {2022}}

Konstantinov AV and Utkin LV (2021), "Interpretable machine learning with an ensemble of gradient boosting machines", Knowledge-Based Systems. Vol.222, Article 106993, pp.1-16

BibTeX:

@article{Konstantinov-Utkin-21,
  author  = {A.V. Konstantinov and L.V. Utkin},
  journal = {Knowledge-Based Systems},
  title   = {Interpretable machine learning with an ensemble of gradient boosting machines},
  year    = {2021},
  number  = {Article 106993},
  pages   = {1--16},
  volume  = {222},
  doi     = {10.1016/j.knosys.2021.106993},
}

Konstantinov AV and Utkin LV (2021), "Attention-like feature explanation for tabular data", arXiv:2108.04855, Aug., 2021.

BibTeX:

@unpublished{Konstantinov-Utkin-21b,
	author = {A.V. Konstantinov and L.V. Utkin},
	month = {Aug},
	note = {arXiv:2108.04855},
	title = {Attention-like feature explanation for tabular data},
	year = {2021}}

Utkin LV, Zaborovsky VS, Kovalev MS, Konstantinov AV, Politaeva NA and Lukashin AA (2021), "Uncertainty Interpretation of the Machine Learning Survival Model Predictions", IEEE Access. Vol.9, pp.120158-120175

BibTeX:

@article{Utkin-etal-21e,
	author = {L.V. Utkin and V.S. Zaborovsky and M.S. Kovalev and A.V. Konstantinov and N.A. Politaeva and A.A. Lukashin},
	doi = {10.1109/ACCESS.2021.3108341},
	journal = {IEEE Access},
	pages = {120158-120175},
	title = {Uncertainty Interpretation of the Machine Learning Survival Model Predictions},
	volume = {9},
	year = {2021}
}

Kovalev MS, Utkin LV, Coolen F, Konstantinov AV (2021), "Counterfactual Explanation of Machine Learning Survival Models", Informatica. Vol.32(4), pp.817--847

BibTeX:

@article{Kovalev-Utkin-etal-21,
	author = {M.S. Kovalev and L.V. Utkin and F. Coolen and A.V. Konstantinov},
	journal = {Informatica},
	number = {4},
	pages = {817--847},
	title = {Counterfactual Explanation of Machine Learning Survival Models},
	volume = {32},
	year = {2021}
}

Utkin LV, Konstantinov AV and Vishniakov KA (2021), "An imprecise SHAP as a tool for explaining the class probability distributions under limited training data", arXiv:2106.09111, Jun., 2021.

BibTeX:

@unpublished{Utkin-Konstantinov-Vishniakov-21,
	author = {L.V. Utkin and A.V. Konstantinov and K.A. Vishniakov},
	month = {Jun},
	note = {arXiv:2106.09111},
	title = {An imprecise {SHAP} as a tool for explaining the class probability distributions under limited training data},
	year = {2021}}

Utkin LV, Satyukov ED and Konstantinov AV (2021), "SurvNAM: The machine learning survival model explanation", arXiv:2104.08903, Apr., 2021.

BibTeX:

@unpublished{Utkin-Satyukov-Konstantinov-2021,
	author = {L.V. Utkin and E.D. Satyukov and A.V. Konstantinov},
	month = {Apr},
	note = {arXiv:2104.08903},
	title = {Surv{NAM}: The machine learning survival model explanation},
	year = {2021}}

Meldo AA, Utkin LV, Kovalev MS and Kasimov E.M. (2020), "The natural language explanation algorithms for the lung cancer computer-aided diagnosis system", Artificial Intelligence in Medicine. Vol.108, Article 101952, pp.1-10

BibTeX:

@article{Meldo-Utkin-etal-2020,
  author  = {A.A. Meldo and L.V. Utkin and M.S. Kovalev and E.M. Kasimov},
  journal = {Artificial Intelligence in Medicine},
  title   = {The natural language explanation algorithms for the lung cancer computer-aided diagnosis system},
  year    = {2020},
  number  = {Article 101952},
  pages   = {1--10},
  volume  = {108},
  doi     = {10.1016/j.artmed.2020.101952},
}

Utkin LV, Kovalev MS and Kasimov EM (2020), "Explanation of Siamese neural networks for weakly supervised learning", Computing and Informatics. Vol.39, No.6, pp.1172-1202.

BibTeX:

@article{Utkin-Kovalev-Kasimov-20,
	author = {L.V. Utkin and M.C. Kovalev and E.M. Kasimov},
	doi = {10.31577/cai_2020_6_1172},
	journal = {Computing and Informatics},
	number = {6},
	pages = {1172--1202},
	title = {Explanation of Siamese neural networks for weakly supervised learning},
	volume = {39},
	year = {2020}
}

Kovalev MS and Utkin LV (2020), "A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds", Neural Networks. Vol.132, pp.1-18.

BibTeX:

@article{Kovalev-Utkin-2020c,
  author  = {M.S. Kovalev and L.V. Utkin},
  journal = {Neural Networks},
  title   = {A robust algorithm for explaining unreliable machine learning survival models using the {K}olmogorov-{S}mirnov bounds},
  year    = {2020},
  pages   = {1--18},
  volume  = {132},
  doi     = {10.1016/j.neunet.2020.08.007},
}

Kovalev MS, Utkin LV, and Kasimov EM (2020), "SurvLIME: A method for explaining machine learning survival models", Knowledge-Based Systems. Vol. 203, Article 106164, pp. 1-20.

BibTeX:

@article{Kovalev-Utkin-Kasimov-20a,
  author  = {M.S. Kovalev and L.V. Utkin and E.M. Kasimov},
  journal = {Knowledge-Based Systems},
  title   = {Surv{LIME}: A method for explaining machine learning survival models},
  year    = {2020},
  pages   = {106164},
  volume  = {203},
  doi     = {10.1016/j.knosys.2020.106164},
}

Utkin LV, Kovalev MS, and Coolen F (2020), "Imprecise weighted extensions of random forests for classification and regression", Applied Soft Computing. Vol. 92, Article 106324, pp. 1-14.

BibTeX:

@article{Utkin-Kovalev-Coolen-2020,
  author  = {L.V. Utkin and M.S. Kovalev M.S. and F. Coolen},
  journal = {Applied Soft Computing},
  title   = {Imprecise weighted extensions of random forests for classification and regression},
  year    = {2020},
  number  = {Article 106324},
  pages   = {1-14},
  volume  = {92},
  doi     = {10.1016/j.asoc.2020.106324},
}

Utkin LV (2020), "An Imprecise Deep Forest for Classification", Expert Systems with Applications. Vol. 141(112978), pp. 1-11.

BibTeX:

@article{Utkin-2020,
  author = {L.V. Utkin},
  title = {An Imprecise Deep Forest for Classification},
  journal = {Expert Systems with Applications},
  year = {2020},
  volume = {141},
  number = {112978},
  pages = {1-11},
  doi = {10.1016/j.eswa.2019.112978}
}

Utkin LV, Konstantinov AV, Chukanov VS and Meldo AA (2020), "A New Adaptive Weighted Deep Forest and its Modifications", International Journal of Information Technology & Decision Making, Vol.19, no.4, pp.963-986.

BibTeX:

@Article{Utkin-Konstantinov-etal-20,
  author  = {L.V. Utkin and A.V. Konstantinov and V.S. Chukanov and A.A. Meldo},
  journal = {International Journal of Information Technology \& Decision Making},
  title   = {A New Adaptive Weighted Deep Forest and its Modifications},
  year    = {2020},
  number  = {4},
  pages   = {963--986},
  volume  = {19},
  doi     = {10.1142/S0219622020500236},
}

Konstantinov AV and Utkin LV (2020), "Gradient boosting machine with partially randomized decision trees", arXiv:2006.11014, Jun., 2020.

BibTeX:

@Unpublished{Konstantinov-Utkin-20a,
  author = {A.V. Konstantinov and L.V. Utkin},
  note   = {arXiv:2006.11014},
  title  = {Gradient boosting machine with partially randomized decision trees},
  month  = jun,
  year   = {2020},
}

Kovalev MS and Utkin LV (2020), "Counterfactual explanation of machine learning survival models", arXiv:2006.16793, June, 2020.

BibTeX:

@Unpublished{Kovalev-Utkin-20b,
  author = {M.S. Kovalev and L.V. Utkin},
  note   = {arXiv:2006.16793},
  title  = {Counterfactual explanation of machine learning survival models},
  month  = jun,
  year   = {2020},
}

Kovalev MS and Utkin LV (2020), "A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds", arXiv:2005.02249, May, 2020.

BibTeX:

@Unpublished{Kovalev-Utkin-20,
  author = {M.S. Kovalev and L.V. Utkin},
  note   = {arXiv:2005.02249},
  title  = {A robust algorithm for explaining unreliable machine learning survival models using the {K}olmogorov-{S}mirnov bounds},
  month  = may,
  year   = {2020},
}

Utkin LV, Kovalev MS and Kasimov EM (2020), "SurvLIME-Inf: A simplified modification of SurvLIME for explanation of machine learning survival models", arXiv:2005.02387, May, 2020.

BibTeX:

@Unpublished{Utkin-Kovalev-Kasimov-20a,
  author = {L.V. Utkin and M.S. Kovalev and E.M. Kasimov},
  note   = {arXiv:2005.02387},
  title  = {Surv{LIME-I}nf: {A} simplified modification of Surv{LIME} for explanation of machine learning survival models},
  month  = may,
  year   = {2020},
}

Kovalev MS, Utkin LV and Kasimov EM (2020), "SurvLIME: A method for explaining machine learning survival models", arXiv:2003.08371, March, 2020.

BibTeX:

@Unpublished{Kovalev-Utkin-Kasimov-20,
  author = {M.S. Kovalev and L.V. Utkin and E.M. Kasimov},
  note   = {arXiv:2003.08371},
  title  = {Surv{LIME}: {A} method for explaining machine learning survival models},
  month  = mar,
  year   = {2020},
}

Utkin LV, and Coolen F (2020), "A new boosting-based software reliability growth model", Communications in Statistics - Theory and Methods.

BibTeX:

@article{Utkin-Coolen-2020,
  author  = {L.V. Utkin and F. Coolen},
  journal = {Communications in Statistics - Theory and Methods},
  title   = {A new boosting-based software reliability growth model},
  year    = {2020},
  doi     = {10.1080/03610926.2020.1740736},
}

Utkin LV and Zhuk KD (2020), "Improvement of the deep forest classifier by a set of neural networks", Informatica. Vol. 44(1), pp. 1-13.

BibTeX:

@article{Utkin-Zhuk-2020,
  author  = {L.V. Utkin and K.D. Zhuk},
  journal = {Informatica},
  title   = {Improvement of the deep forest classifier by a set of neural networks},
  year    = {2020},
  number  = {1},
  pages   = {1--13},
  volume  = {44},
  doi     = {10.31449/inf.v44i1.2740},
}

Utkin LV and Kots MV and Chukanov VS and Konstantinov AV and Meldo AA (2020), "Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors", International Journal on Artificial Intelligence Tools. Vol. 29, No.5, Article 2050005, pp. 1-23.

BibTeX:

@Article{Utkin-Kots-etal-2020,
  author  = {L.V. Utkin and M.V. Kots and V.S. Chukanov and A.V. Konstantinov and A.A. Meldo},
  journal = {International Journal on Artificial Intelligence Tools},
  title   = {Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors},
  year    = {2020},
  note    = {Article 2050005},
  number  = {5},
  pages   = {1--23},
  volume  = {29},
  doi     = {10.1142/S0218213020500050},
}

Utkin L, Kovalev M and Kasimov E (2020), "An Explanation Method for Black-Box Machine Learning Survival Models Using the Chebyshev Distance", In Proceedings of the Artificial Intelligence and Natural Language. AINL 2020. Springer, Cham, Communications in Computer and Information Science, vol. 1292, pp. 62-74.

BibTeX:


@InProceedings{Utkin-Kovalev-Kasimov-20c,
  author    = {L.V. Utkin and M.S. Kovalev and E.M. Kasimov},
  booktitle = {Artificial Intelligence and Natural Language. AINL 2020},
  title     = {An Explanation Method for Black-Box Machine Learning Survival Models Using the Chebyshev Distance},
  year      = {2020},
  address   = {Cham},
  pages     = {62--74},
  publisher = {Springer},
  series    = {Communications in Computer and Information Science},
  volume    = {1292},
  doi       = {10.1007/978-3-030-59082-6_5},
}

Utkin L, Meldo A, Kovalev M and Kasimov E (2020), "A Simple General Algorithm for the Diagnosis Explanation of Computer-Aided Diagnosis Systems in Terms of Natural Language Primitives", In Proceedings of the 2020 XXIII International Conference on Soft Computing and Measurements (SCM). IEEE, pp. 202-205.

BibTeX:

@InProceedings{Utkin-etal-2020a,
  author    = {L.V. Utkin and A.A. Meldo and M.S. Kovalev and E.M. Kasimov},
  booktitle = {2020 XXIII International Conference on Soft Computing and Measurements (SCM)},
  title     = {A Simple General Algorithm for the Diagnosis Explanation of Computer-Aided Diagnosis Systems in Terms of Natural Language Primitives},
  year      = {2020},
  pages     = {202--205},
  publisher = {IEEE},
  doi       = {10.1109/SCM50615.2020.9198764},
}

Utkin L, Konstantinov A, Lukashin A and Muliukha V (2020), "An Adaptive Weighted Deep Survival Forest", In Proceedings of the 2020 XXIII International Conference on Soft Computing and Measurements (SCM). IEEE, pp. 198--201.

BibTeX:


@InProceedings{Utkin-etal-2020b,
  author    = {L.V. Utkin and A.V. Konstantinov and A.A. Lukashin and V.A. Muliukha},
  booktitle = {2020 XXIII International Conference on Soft Computing and Measurements (SCM)},
  title     = {An Adaptive Weighted Deep Survival Forest},
  year      = {2020},
  pages     = {198--201},
  publisher = {IEEE},
  doi       = {10.1109/SCM50615.2020.9198755},
}

Lukashin A, Ilyashenko A, Utkin L, Muliukha V and Meldo A (2019), "AIzimov: the Platform for Intellectual Diagnostics of Lung Cancer", In Proceedings of the 25th Conference of Open Innovations Association FRUCT. Helsinki, Finland , pp. 1-8.

BibTeX:

@inproceedings{Lukashin-etal-2019,
  author = {A. Lukashin and A. Ilyashenko and L. Utkin and V. Muliukha and A. Meldo},
  title = {AIzimov: the Platform for Intellectual Diagnostics of Lung Cancer},
  booktitle = {Proceedings of the 25th Conference of Open Innovations Association FRUCT},
  year = {2019},
  pages = {1-8}
}

Meldo A, Utkin L, Moiseenko V and Ryabinin M (2019), "A new architecture of the computer-aided system for lung cancer diagnostics", In Insights Imaging. ECR 2019. Book of Abstracts. , pp. S556.

BibTeX:

@inproceedings{Meldo-etal-2019a,
  author = {A.A. Meldo and L.V. Utkin and V.M. Moiseenko and M.A. Ryabinin},
  title = {A new architecture of the computer-aided system for lung cancer diagnostics},
  booktitle = {Insights Imaging. ECR 2019. Book of Abstracts},
  year = {2019},
  pages = {S556}
}

Meldo A, Utkin L, Lukashin A, Muliukha V and Zaborovsky V (2019), "Database Acquisition for the Lung Cancer Computer Aided Diagnostic Systems", In Proceedings of the 25th Conference of Open Innovations Association FRUCT. Helsinki, Finland , pp. 1-7.

BibTeX:

@inproceedings{Meldo-etal-2019c,
  author = {A.A. Meldo and L.V. Utkin and A.A. Lukashin and V.A. Muliukha and V.S. Zaborovsky},
  title = {Database Acquisition for the Lung Cancer Computer Aided Diagnostic Systems},
  booktitle = {Proceedings of the 25th Conference of Open Innovations Association FRUCT},
  year = {2019},
  pages = {1-7}
}

Meldo A and Utkin L (2019), "A new approach to differential lung diagnosis with CT scans based on the Siamese neural network", In IOP Conf. Series: Journal of Physics: Conference Series. Vol. 1236, pp. 012058-5.

BibTeX:

@inproceedings{Meldo-Utkin-2019a,
  author = {A.A. Meldo and L.V. Utkin},
  title = {A new approach to differential lung diagnosis with CT scans based on the Siamese neural network},
  booktitle = {IOP Conf. Series: Journal of Physics: Conference Series},
  year = {2019},
  volume = {1236},
  pages = {012058-5},
  doi = {10.1088/1742-6596/1236/1/012058}
}

Meldo A and Utkin L (2019), "Radiomics as a basis for transformation of radiologists skills and partnership", In IOP Conf. Series: Journal of Physics: Conference Series. Vol. 1236, pp. 012063-5.

BibTeX:

@inproceedings{Meldo-Utkin-2019b,
  author = {A.A. Meldo and L.V. Utkin},
  title = {Radiomics as a basis for transformation of radiologists skills and partnership},
  booktitle = {IOP Conf. Series: Journal of Physics: Conference Series},
  year = {2019},
  volume = {1236},
  pages = {012063-5},
  doi = {10.1088/1742-6596/1236/1/012063}
}

Plekhanova E, Nuzhdin S, Utkin L and Samsonova M (2019), "Prediction of deleterious mutations in coding regions of mammals with Transfer learning", Evolutionary Applications. Vol. 12(1), pp. 18-28.

BibTeX:

@article{Plekhanova-Utkin-etal-2019,
  author = {E. Plekhanova and S.V. Nuzhdin and L.V. Utkin and M.G. Samsonova},
  title = {Prediction of deleterious mutations in coding regions of mammals with Transfer learning},
  journal = {Evolutionary Applications},
  year = {2019},
  volume = {12},
  number = {1},
  pages = {18--28},
  doi = {10.1111/eva.12607}
}

Utkin L (2019), "An imprecise extension of SVM-based machine learning models", Neurocomputing. Vol. 331, pp. 18-32.

BibTeX:

@article{Utkin-2019,
  author = {L.V. Utkin},
  title = {An imprecise extension of SVM-based machine learning models},
  journal = {Neurocomputing},
  year = {2019},
  volume = {331},
  pages = {18--32},
  doi = {10.1016/j.neucom.2018.11.053}
}

Utkin L, Konstantinov A, Chuknov V, Kots M, Ryabinin M and Meldo A (2019), "A weighted random survival forest", Jan, 2019.

BibTeX:

@unpublished{Utkin-etal-2019,
  author = {L.V. Utkin and A.V. Konstantinov and V.S. Chukanov and M.V. Kots and M.A. Ryabinin and A.A. Meldo},
  title = {A weighted random survival forest},
  year = {2019},
  note = {arXiv:1901.00213}
}

Utkin L, Konstantinov A, Chukanov V, Kots M and Meldo A (2019), "An Adaptive Weighted Deep Forest Classifier", Jan, 2019.

BibTeX:

@unpublished{Utkin-etal-2019a,
  author = {L.V. Utkin and A.V. Konstantinov and V.S. Chukanov and M.V. Kots and A.A. Meldo},
  title = {An Adaptive Weighted Deep Forest Classifier},
  year = {2019},
  note = {arXiv:1901.01334}
}

Utkin L, Konstantinov A, Chukanov V, Kots M, Ryabinina M and Meldo A (2019), "A weighted random survival forest", Knowledge-Based Systems. Vol. 177, pp. 136-144.

BibTeX:

@article{Utkin-etal-2019c,
  author = {L.V. Utkin and A.V. Konstantinov and V.S. Chukanov and M.V. Kots and M.A. Ryabinina and A.A. Meldo},
  title = {A weighted random survival forest},
  journal = {Knowledge-Based Systems},
  year = {2019},
  volume = {177},
  pages = {136--144},
  doi = {10.1016/j.knosys.2019.04.015}
}

Utkin L, Konstantinov A, Meldo A, Ryabinin M and Chukanov V (2019), "A Deep Forest Improvement by Using Weighted Schemes", In Proceedings of the 24th Conference of Open Innovations Association FRUCT. Moscow, Russia , pp. 451-456. IEEE.

BibTeX:

@inproceedings{Utkin-etal-2019d,
  author = {L.V. Utkin and A.V. Konstantinov and A.A. Meldo and M.A. Ryabinin and V.S. Chukanov},
  title = {A Deep Forest Improvement by Using Weighted Schemes},
  booktitle = {Proceedings of the 24th Conference of Open Innovations Association FRUCT},
  publisher = {IEEE},
  year = {2019},
  pages = {451--456},
  doi = {10.23919/FRUCT.2019.8711886}
}

Utkin L, Meldo A, Kovalev M and Kasimov E (2019), "An Ensemble of Triplet Neural Networks for Differential Diagnostics of Lung Cancer", In Proceedings of the 25th Conference of Open Innovations Association FRUCT. Helsinki, Finland , pp. 1-8.

BibTeX:

@inproceedings{Utkin-etal-2019k,
  author = {L.V. Utkin and A.A. Meldo and M.S. Kovalev and E.M. Kasimov},
  title = {An Ensemble of Triplet Neural Networks for Differential Diagnostics of Lung Cancer},
  booktitle = {Proceedings of the 25th Conference of Open Innovations Association FRUCT},
  year = {2019},
  pages = {1-8}
}

Utkin L, Konstantinov A, Meldo A, Sokolova V and Coolen F (2019), "The Deep Survival Forest and Elastic-Net-Cox Cascade models as extensions of the Deep Forest", In Proceedings of the International Scientific Conference "Telecommunications, Computing and Control" (TELECCON-2019). St.Petersburg, November, 2019. , pp. 1-6.

BibTeX:

@inproceedings{Utkin-Konstantinov-etal-2019,
  author = {L. Utkin and A. Konstantinov and A. Meldo and V. Sokolova and F. Coolen},
  title = {The Deep Survival Forest and Elastic-Net-Cox Cascade models as extensions of the Deep Forest},
  booktitle = {Proceedings of the International Scientific Conference "Telecommunications, Computing and Control" (TELECCON-2019)},
  year = {2019},
  pages = {1-6}
}

Utkin L, Kots M and Chukanov V (2019), "Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors", Sep, 2019.

BibTeX:

@unpublished{Utkin-Kots-Chukanov-2019,
  author = {L.V. Utkin and M.V. Kots and V.S. Chukanov},
  title = {Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors},
  year = {2019},
  note = {arXiv:1909.03894}
}

Utkin L, Kovalev M and Coolen F (2019), "Robust regression random forests by small and noisy training data", In Proceedings of XXII International Conference on Soft Computing and Measurements (SCM)). St. Petersburg, Russia , pp. 134-137. IEEE.

BibTeX:

@inproceedings{Utkin-Kovalev-Coolen-2019,
  author = {L.V. Utkin and M.S. Kovalev and F. Coolen},
  title = {Robust regression random forests by small and noisy training data},
  booktitle = {Proceedings of XXII International Conference on Soft Computing and Measurements (SCM))},
  publisher = {IEEE},
  year = {2019},
  pages = {134-137},
  doi = {10.1109/SCM.2019.8903679}
}

Utkin L, Kovalev M and Meldo A (2019), "A deep forest classifier with weights of class probability distribution subsets", Knowledge-Based Systems. Vol. 173, pp. 15-27.

BibTeX:

@article{Utkin-Kovalev-Meldo-2019,
  author = {L.V. Utkin and M.S. Kovalev and A.A. Meldo},
  title = {A deep forest classifier with weights of class probability distribution subsets},
  journal = {Knowledge-Based Systems},
  year = {2019},
  volume = {173},
  pages = {15-27},
  doi = {10.1016/j.knosys.2019.02.022}
}

Utkin L, Kovalev M, Meldo A and Coolen F (2019), "Imprecise Extensions of Random Forests and Random Survival Forests", In Proceedings of Machine Learning Research. Vol. 103, pp. 404-413.

BibTeX:

@inproceedings{Utkin-Kovalev-Meldo-Coolen-2019,
  author = {L.V. Utkin and M.S. Kovalev and A.A. Meldo and F.P.A. Coolen},
  title = {Imprecise Extensions of Random Forests and Random Survival Forests},
  booktitle = {Proceedings of Machine Learning Research},
  year = {2019},
  volume = {103},
  pages = {404--413}
}

Utkin L, Meldo A and Konstantinov A (2019), "Deep Forest as a framework for a new class of machine-learning models", National Science Review. Vol. 6(2), pp. 186-186.

BibTeX:

@article{Utkin-Meldo-Konstantinov-2019,
  author = {L.V. Utkin and A.A. Meldo and A.V. Konstantinov},
  title = {Deep Forest as a framework for a new class of machine-learning models},
  journal = {National Science Review},
  year = {2019},
  volume = {6},
  number = {2},
  pages = {186--186},
  doi = {10.1093/nsr/nwy151}
}

Utkin L and Ryabinin M (2019), "Discriminative Metric Learning with Deep Forest", International Journal on Artificial Intelligence Tools. Vol. 28(2), pp. 1950007-1 - 19.

BibTeX:

@article{Utkin-Ryabinin-2019,
  author = {L.V. Utkin and M.A. Ryabinin},
  title = {Discriminative Metric Learning with Deep Forest},
  journal = {International Journal on Artificial Intelligence Tools},
  year = {2019},
  volume = {28},
  number = {2},
  pages = {1950007-1 -- 19},
  doi = {10.1142/S0218213019500076}
}

Meldo A and Utkin L (2018), "A computer-aided system for differential diagnosis of lung diseases", In Intelligent Data Processing: Theory and Applications. Book of abstracts of the 12th International Conference. Moscow , pp. 35. TORUS PRESS.

BibTeX:

@inproceedings{Meldo-Utkin-2018k,
  author = {A.A. Meldo and L.V. Utkin},
  title = {A computer-aided system for differential diagnosis of lung diseases},
  booktitle = {Intelligent Data Processing: Theory and Applications. Book of abstracts of the 12th International Conference},
  publisher = {TORUS PRESS},
  year = {2018},
  pages = {35}
}

Utkin L and Coolen F (2018), "A robust weighted SVR-based software reliability growth model", Reliability Engineering and System Safety. Vol. 176, pp. 93-101.

BibTeX:

@article{Utkin-Coolen-2018,
  author = {L.V. Utkin and F.P.A. Coolen},
  title = {A robust weighted SVR-based software reliability growth model},
  journal = {Reliability Engineering and System Safety},
  year = {2018},
  volume = {176},
  pages = {93--101},
  doi = {10.1016/j.ress.2018.04.007}
}

Utkin L and Coolen F (2018), "Imprecise Probabilistic Inference for Software Run Reliability Growth Models", Journal of Uncertain Systems. Vol. 12(4), pp. 292-308.

BibTeX:

@article{Utkin-Coolen-2018a,
  author = {L.V. Utkin and F.P.A. Coolen},
  title = {Imprecise Probabilistic Inference for Software Run Reliability Growth Models},
  journal = {Journal of Uncertain Systems},
  year = {2018},
  volume = {12},
  number = {4},
  pages = {292--308}
}

Utkin L and Ryabinin M (2018), "A Siamese deep forest", Knowledge-Based Systems. Vol. 139, pp. 13-22.

BibTeX:

@article{Utkin-Ryabinin-2018,
  author = {L.V. Utkin and M.A. Ryabinin},
  title = {A Siamese deep forest},
  journal = {Knowledge-Based Systems},
  year = {2018},
  volume = {139},
  pages = {13-22},
  doi = {10.1016/j.knosys.2017.10.006}
}

Utkin L and Ryabinin M (2018), "A deep forest for transductive transfer learning by using a consensus measure", In Artificial Intelligence and Natural Language. AINL 2017. Cham Vol. 789, pp. 194-208. Springer.

BibTeX:

@incollection{Utkin-Ryabinin-2018a,
  author = {L.V. Utkin and M.A. Ryabinin},
  editor = {A. Filchenkov and L. Pivovarova and J. Zizka},
  title = {A deep forest for transductive transfer learning by using a consensus measure},
  booktitle = {Artificial Intelligence and Natural Language. AINL 2017},
  publisher = {Springer},
  year = {2018},
  volume = {789},
  pages = {194-208},
  doi = {10.1007/978-3-319-71746-3_17}
}

Utkin L and Utkina I (2018), "A High-Performance Genome-Wide Association Study Algorithm based on Analysis of Pairs of Individuals", SPIIRAS Proceedings. Vol. 58(3), pp. 5-26.

BibTeX:

@article{Utkin-Utkina-2018,
  author = {L.V. Utkin and I.L. Utkina},
  title = {A High-Performance Genome-Wide Association Study Algorithm based on Analysis of Pairs of Individuals},
  journal = {SPIIRAS Proceedings},
  year = {2018},
  volume = {58},
  number = {3},
  pages = {5--26},
  doi = {10.15622/sp.58.1}
}

Utkin L and Zhuk Y (2018), "A modification of the Lasso method by using the Bahadur representation for the genome-wide association study", Informatica. Vol. 42(2), pp. 175-188.

BibTeX:

@article{Utkin-Zhuk-2018,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {A modification of the Lasso method by using the Bahadur representation for the genome-wide association study},
  journal = {Informatica},
  year = {2018},
  volume = {42},
  number = {2},
  pages = {175--188}
}

Glazunov V, Utkin L, Ryabinin M and Popov S (2017), "The rules selection algorithm for network traffic of robot groups in intelligent transportation systems", In Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Saint Petersburg, Russia, May, 2017. , pp. 533-535. IEEE.

BibTeX:

@inproceedings{Glazunov-Utkin-etal-2017,
  author = {V.V. Glazunov and L.V. Utkin and M.A. Ryabinin and S.G. Popov},
  title = {The rules selection algorithm for network traffic of robot groups in intelligent transportation systems},
  booktitle = {Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017},
  publisher = {IEEE},
  year = {2017},
  pages = {533-535},
  doi = {10.1109/SCM.2017.7970641}
}

Gurov S and Utkin L (2017), "Reliability of repairable reserved systems with failure aftereffect", Automation and Remote Control. Vol. 78(1), pp. 113-124.

BibTeX:

@article{Gurov-Utkin-2017,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Reliability of repairable reserved systems with failure aftereffect},
  journal = {Automation and Remote Control},
  year = {2017},
  volume = {78},
  number = {1},
  pages = {113-124},
  doi = {10.1134/S000511791701009X}
}

Utkin L, Lukashin A, Popov S, Zaborovsky V and Podolskaja A (2017), "A Siamese autoencoder preserving distances for anomaly detection in multi-robot systems", In 2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). Prague, Czech Republic , pp. 39-44. IEEE.

BibTeX:

@inproceedings{Utkin-etal-2017,
  author = {L.V. Utkin and A.A. Lukashin and S.G. Popov and V.S. Zaborovsky and A.V. Podolskaja},
  title = {A Siamese autoencoder preserving distances for anomaly detection in multi-robot systems},
  booktitle = {2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)},
  publisher = {IEEE},
  year = {2017},
  pages = {39--44},
  doi = {10.1109/ICCAIRO.2017.17}
}

Utkin L, Podolskaja A and Zaborovsky V (2017), "A Robust interval autoencoder", In 2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO). Prague, Czech Republic , pp. 115-120. IEEE.

BibTeX:

@inproceedings{Utkin-Podolskaja-Zaborovsky-2017,
  author = {L.V. Utkin and A.V. Podolskaja and V.S. Zaborovsky},
  title = {A Robust interval autoencoder},
  booktitle = {2017 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)},
  publisher = {IEEE},
  year = {2017},
  pages = {115--120},
  doi = {10.1109/ICCAIRO.2017.32}
}

Utkin L and Ryabinin M (2017), "A Siamese Deep Forest", Apr, 2017.

BibTeX:

@unpublished{Utkin-Ryabinin-2017,
  author = {L.V. Utkin and M.A. Ryabinin},
  title = {A Siamese Deep Forest},
  year = {2017},
  note = {arXiv:1704.08715v1}
}

Utkin L and Ryabinin M (2017), "Discriminative Metric Learning with Deep Forest", May, 2017.

BibTeX:

@unpublished{Utkin-Ryabinin-2017a,
  author = {L.V. Utkin and M.A. Ryabinin},
  title = {Discriminative Metric Learning with Deep Forest},
  year = {2017},
  note = {arXiv:1705.09620v1}
}

Utkin L and Utkina I (2017), "A simple genome-wide association study algorithm", August, 2017.

BibTeX:

@unpublished{Utkin-Utkina-2017,
  author = {L.V. Utkin and I.L. Utkina},
  title = {A simple genome-wide association study algorithm},
  year = {2017},
  note = {arXiv:1708.01746}
}

Utkin L, Zaborovsky V and Popov S (2017), "Siamese neural network for intelligent information security control in multi-robot systems", Automatic Control and Computer Sciences. Vol. 51(8), pp. 881-887.

BibTeX:

@article{Utkin-Zaborovsky-Popov-2017a,
  author = {L.V. Utkin and V.S. Zaborovsky and S.G. Popov},
  title = {Siamese neural network for intelligent information security control in multi-robot systems},
  journal = {Automatic Control and Computer Sciences},
  year = {2017},
  volume = {51},
  number = {8},
  pages = {881--887},
  doi = {10.3103/S0146411617080235}
}

Utkin L and Zhuk Y (2017), "An one-class classification support vector machine model by interval-valued training data", Knowledge-Based Systems. Vol. 120, pp. 43-56.

BibTeX:

@article{Utkin-Zhuk-2017,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {An one-class classification support vector machine model by interval-valued training data},
  journal = {Knowledge-Based Systems},
  year = {2017},
  volume = {120},
  pages = {43--56},
  doi = {10.1016/j.knosys.2016.12.022}
}

Utkin L and Zhuk Y (2017), "Interval SVM-based classification algorithm using the uncertainty trick", International Journal on Artificial Intelligence Tools. Vol. 26(4), pp. 1750014-1-1750014-32.

BibTeX:

@article{Utkin-Zhuk-2017a,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Interval SVM-based classification algorithm using the uncertainty trick},
  journal = {International Journal on Artificial Intelligence Tools},
  year = {2017},
  volume = {26},
  number = {4},
  pages = {1750014-1--1750014-32},
  doi = {10.1142/S0218213017500142}
}

Utkin L, Zhuk Y and Zaborovsky V (2017), "An anomalous behavior detection of a robot system by using a hierarchical Siamese neural network", In Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Saint Petersburg, Russia, May, 2017. , pp. 630-634. IEEE.

BibTeX:

@inproceedings{Utkin-Zhuk-Zaborovsky-2017,
  author = {L.V. Utkin and Y.A. Zhuk and V.S. Zaborovsky},
  title = {An anomalous behavior detection of a robot system by using a hierarchical Siamese neural network},
  booktitle = {Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017},
  publisher = {IEEE},
  year = {2017},
  pages = {630-634},
  doi = {10.1109/SCM.2017.7970671}
}

Utkin L, Chekh A and Zhuk Y (2016), "Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels", Neural Networks. Vol. 80, pp. 53-66.

BibTeX:

@article{Utkin-Chekh-Zhuk-2016,
  author = {L.V. Utkin and A.I. Chekh and Y.A. Zhuk},
  title = {Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels},
  journal = {Neural Networks},
  year = {2016},
  volume = {80},
  pages = {53-66},
  doi = {10.1016/j.neunet.2016.04.005}
}

Utkin L, Popov S and Zhuk Y (2016), "Robust transfer learning in multi-robot systems by using sparse autoencoder", In 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM). St. Petersburg, Russia , pp. 224-227. IEEE.

[BibTeX] [DOI] [URL]

BibTeX:

@inproceedings{Utkin-Popov-Zhuk-2016,
  author = {L.V. Utkin and S.G. Popov and Y.A. Zhuk},
  title = {Robust transfer learning in multi-robot systems by using sparse autoencoder},
  booktitle = {2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM)},
  publisher = {IEEE},
  year = {2016},
  pages = {224-227},
  url = {http://ieeexplore.ieee.org/document/7519735/},
  doi = {0.1109/SCM.2016.7519735}
}

Utkin L, Zaborovskii V and Popov S (2016), "Detection of Anomalous Behavior in a Robot System Based on Deep Learning Elements", Automatic Control and Computer Sciences. Vol. 50(8), pp. 726-733.

BibTeX:

@article{Utkin-Zaborovskii-Popov-2016a,
  author = {L.V. Utkin and V.S. Zaborovskii and S.G. Popov},
  title = {Detection of Anomalous Behavior in a Robot System Based on Deep Learning Elements},
  journal = {Automatic Control and Computer Sciences},
  year = {2016},
  volume = {50},
  number = {8},
  pages = {726-733},
  doi = {10.3103/S0146411616080319}
}

Utkin L, Zaborovsky V and Popov S (2016), "Adaptive robust SVM-based classification algorithms for multi-robot systems using sets of weights", In Proceedings of the 9th EUROSIM Congress on Modelling and Simulation. Oulu, Finland, September, 2016. , pp. 904-909. IEEE.

[BibTeX] [DOI] [URL]

BibTeX:

@inproceedings{Utkin-Zaborovsky-Popov-2016,
  author = {L.V. Utkin and V.S. Zaborovsky and S.G. Popov},
  title = {Adaptive robust SVM-based classification algorithms for multi-robot systems using sets of weights},
  booktitle = {Proceedings of the 9th EUROSIM Congress on Modelling and Simulation},
  publisher = {IEEE},
  year = {2016},
  pages = {904-909},
  url = {http://conferences.computer.org/eurosim/2016/papers/4119a904.pdf},
  doi = {10.1109/EUROSIM.2016.3}
}

Gurov S and Utkin L (2015), "An inverse problem of the load-sharing system reliability analysis: Constructing the load function", Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. Vol. 229(1), pp. 16-25.

[Abstract] [BibTeX] [DOI]

Abstract: The reliability analysis of the load-sharing systems under different
behaviors of the load has been provided in this article. An inverse
problem of determining the load function by having requirements concerning
the system survivor function is solved. Simple and explicit expressions
for computing the load function are provided under the assumption
that the Weibull probability distributions of time to failure are
derived. A standby system consisting of two units under the changeable
load is studied. The various numerical examples illustrate the proposed
models.

BibTeX:

@article{Gurov-Utkin-2015a,
  author = {S.V. Gurov and L.V. Utkin},
  title = {An inverse problem of the load-sharing system reliability analysis: Constructing the load function},
  journal = {Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability},
  year = {2015},
  volume = {229},
  number = {1},
  pages = {16-25},
  doi = {10.1177/1748006X14545636}
}

Gurov S and Utkin L (2015), "Reliability analysis of load-sharing m-out-of-n systems with arbitrary load and different probability distributions of time to failure", International Journal of Reliability and Safety. Vol. 9(1), pp. 21-35.

[BibTeX] [DOI] [URL]

BibTeX:

@article{Gurov-Utkin-2015b,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Reliability analysis of load-sharing m-out-of-n systems with arbitrary load and different probability distributions of time to failure},
  journal = {International Journal of Reliability and Safety},
  year = {2015},
  volume = {9},
  number = {1},
  pages = {21-35},
  url = {http://www.inderscience.com/info/inarticle.php?artid=71569},
  doi = {10.1504/IJRS.2015.071569}
}

Utkin L (2015), "The imprecise Dirichlet model as a basis for a new boosting classification algorithm", Neurocomputing. Vol. 151(3), pp. 1374-1383.

BibTeX:

@article{Utkin-2015,
  author = {L.V. Utkin},
  title = {The imprecise Dirichlet model as a basis for a new boosting classification algorithm},
  journal = {Neurocomputing},
  year = {2015},
  volume = {151},
  number = {3},
  pages = {1374-1383},
  doi = {10.1016/j.neucom.2014.10.053}
}

Utkin L and Chekh A (2015), "A new robust model of one-class classification by interval-valued training data using the triangular kernel", Neural Networks. Vol. 69, pp. 99-110.

[Abstract] [BibTeX] [DOI]

Abstract: A robust one-class classification model as an extension of Campbell
and Bennett's (C--B) novelty detection model on the case of interval-valued
training data is proposed in the paper. It is shown that the dual
optimization problem to a linear program in the C--B model has a nice
property allowing to represent it as a set of simple linear programs.
It is proposed also to replace the Gaussian kernel in the obtained
linear support vector machines by the well-known triangular kernel
which can be regarded as an approximation of the Gaussian kernel.
This replacement allows us to get a finite set of simple linear optimization
problems for dealing with interval-valued data. Numerical experiments
with synthetic and real data illustrate performance of the proposed
model.

BibTeX:

@article{Utkin-Chekh-2015,
  author = {L.V. Utkin and A.I. Chekh},
  title = {A new robust model of one-class classification by interval-valued training data using the triangular kernel},
  journal = {Neural Networks},
  year = {2015},
  volume = {69},
  pages = {99-110},
  doi = {10.1016/j.neunet.2015.05.004}
}

Utkin L, Chekh A and Zhuk Y (2015), "Classification SVM algorithms with interval-valued training data using triangular and Epanechnikov kernels", In 9th International Symposium on Imprecise Probability: Theories and Applications. Pescara, Italy , pp. 295-303. SIPTA.

[Abstract] [BibTeX] [URL]

Abstract: Classification algorithms based on different forms of support vector
machines (SVMs) for dealing with interval-valued training data are
proposed in the paper. L2-norm and L_infinity-norm SVMs are used
for constructing the algorithms. The main idea allowing us to represent
the complex optimization problems as a set of simple linear or quadratic
programming problems is to approximate the Gaussian kernel by the
well-known triangular and Epanechnikov kernels. The minimax strategy
is used to choose an optimal probability distribution from the set
and to construct optimal separating functions.

BibTeX:

@inproceedings{Utkin-Chekh-Zhuk-2015,
  author = {L.V. Utkin and A.I. Chekh and Y.A. Zhuk},
  title = {Classification SVM algorithms with interval-valued training data using triangular and Epanechnikov kernels},
  booktitle = {9th International Symposium on Imprecise Probability: Theories and Applications},
  publisher = {SIPTA},
  year = {2015},
  pages = {295-303},
  url = {http://www.sipta.org/isipta15/pdf/isipta15proceedings.pdf}
}

Utkin L and Coolen F (2015), "Imprecise individual risk models of insurance", Journal of Uncertain Systems. Vol. 9(3), pp. 198-214.

[Abstract] [BibTeX] [URL]

Abstract: Two imprecise individual risk models of insurance are presented and
studied in this paper. The models use the beta-binomial and the negative
binomial imprecise statistical models, which can be regarded as sets
of the corresponding distributions of claims. The sets of distributions
strongly depend on prior statistical information about claims and
their use can give an advantage when we have little prior information.
The results of these models are interval-valued probabilities for
the event that aggregate claims will exceed the premium. Moreover,
it is shown how to construct the corresponding fuzzy probabilities.
Numerical examples illustrate the proposed imprecise models.

BibTeX:

@article{Utkin-Coolen-2015a,
  author = {L.V. Utkin and F.P.A. Coolen},
  title = {Imprecise individual risk models of insurance},
  journal = {Journal of Uncertain Systems},
  year = {2015},
  volume = {9},
  number = {3},
  pages = {198-214},
  url = {http://www.worldacademicunion.com/journal/jus/jusVol09No3paper04.pdf}
}

Utkin L, Coolen F and Gurov S (2015), "Imprecise inference for warranty contract analysis", Reliability Engineering and System Safety., June, 2015. Vol. 138, pp. 31-39.

[Abstract] [BibTeX] [DOI] [URL]

Abstract: This paper presents an investigation into generalised Bayesian analysis
of warranty contracts, using sets of prior distributions within the
theory of imprecise probability. Explicit expressions are derived
for optimal lower and upper bounds for the expected profit for the
manufacturer of a product, corresponding to an imprecise negative
binomial model for which two sets of prior distributions are studied.
The results can be used to set a maximum value of compensation such
that the manufacturer's expected profit remains positive, under vague
prior knowledge.

BibTeX:

@article{Utkin-Coolen-Gurov-2015,
  author = {L.V. Utkin and F.P.A. Coolen and S.V. Gurov},
  title = {Imprecise inference for warranty contract analysis},
  journal = {Reliability Engineering and System Safety},
  year = {2015},
  volume = {138},
  pages = {31-39},
  url = {http://www.sciencedirect.com/science/article/pii/S0951832015000216},
  doi = {10.1016/j.ress.2015.01.011}
}

Utkin L and Wiencierz A (2015), "Improving over-fitting in ensemble regression by imprecise probabilities", Information Sciences. Vol. 317, pp. 315-328.

[Abstract] [BibTeX] [DOI]

Abstract: In this paper, generalized versions of two ensemble methods for regression
based on variants of the original AdaBoost algorithm are proposed.
The generalization of these regression methods consists in restricting
the unit simplex for the weights of the instances to a smaller set
of weighting probabilities. Various imprecise statistical models
can be used to obtain a restricted set of weighting probabilities,
whose sizes each depend on a single parameter. For particular choices
of this parameter, the proposed algorithms reduce to standard AdaBoost-based
regression algorithms or to standard regression. The main advantage
of the proposed algorithms compared to the basic AdaBoost-based regression
methods is that they have less tendency to over-fitting, because
the weights of the hard instances are restricted. Several simulations
and applications furthermore indicate a better performance of the
proposed regression methods in comparison with the corresponding
standard regression methods.

BibTeX:

@article{Utkin-Wiencierz-2015,
  author = {L.V. Utkin and A. Wiencierz},
  title = {Improving over-fitting in ensemble regression by imprecise probabilities},
  journal = {Information Sciences},
  year = {2015},
  volume = {317},
  pages = {315--328},
  doi = {10.1016/j.ins.2015.04.037}
}

Utkin L and Zhuk Y (2015), "Robust classifiers using imprecise probability models and importance of classes", International Journal on Artificial Intelligence Tools. Vol. 24(1), pp. 1-28.

[Abstract] [BibTeX] [DOI] [URL]

Abstract: A framework for constructing robust classification models is proposed
in the paper. An assumption about importance of one of the classes
in comparison with other classes is incorporated into the models.
It often takes place in the real application, for example, in reliability,
in medical diagnostic, etc. A main idea underlying the models is
to consider a set of probability distributions on training examples
produced by the imprecise probability models such as linear-vacuous
mixture and constant odd-ratio contaminated models. Extreme points
of the sets of probability distributions are a main tool for constructing
the robust classifiers. It is shown that algorithms for computing
optimal classification parameters are reduced to a finite number
of weighted support vector machines with weights determined by the
extreme points. Experimental results with synthetic and real data
illustrate the proposed models.

BibTeX:

@article{Utkin-Zhuk-2015,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Robust classifiers using imprecise probability models and importance of classes},
  journal = {International Journal on Artificial Intelligence Tools},
  year = {2015},
  volume = {24},
  number = {1},
  pages = {1-28},
  note = {1550008},
  url = {http://www.worldscientific.com/doi/abs/10.1142/S0218213015500086},
  doi = {10.1142/S0218213015500086}
}

Botian I and Utkin L (2014), "A brief review of main SVM-based ranking models", European Journal of Technology and Design. Vol. 3(1), pp. 18-22.

BibTeX:

@article{Botian-Utkin-2014,
  author = {I.Yu. Botian and L.V. Utkin},
  title = {A brief review of main SVM-based ranking models},
  journal = {European Journal of Technology and Design},
  year = {2014},
  volume = {3},
  number = {1},
  pages = {18-22},
  doi = {10.13187/issn.2310-0133}
}

Coolen F and Utkin L (2014), "Introduction to Imprecise Probabilities" Chichester, UK , pp. 305-317. John Wiley & Sons.

[BibTeX] [DOI] [URL]

BibTeX:

@inbook{Coolen-Utkin-2014,
  author = {F.P.A. Coolen and L.V. Utkin},
  editor = {Th. Augustin and F.P.A. Coolen and G. de Cooman and M.C.M. Troffaes},
  title = {Introduction to Imprecise Probabilities},
  publisher = {John Wiley & Sons},
  year = {2014},
  pages = {305-317},
  url = {http://onlinelibrary.wiley.com/doi/10.1002/9781118763117.ch14/summary},
  doi = {10.1002/9781118763117.ch14}
}

Gurov S and Utkin L (2014), "A continuous extension of a load-share reliability model based on a condition of the residual lifetime conservation", European Journal of Industrial Engineering. Vol. 8(3), pp. 349-365.

[BibTeX] [DOI] [URL]

BibTeX:

@article{Gurov-Utkin-14,
  author = {S.V. Gurov and L.V. Utkin},
  title = {A continuous extension of a load-share reliability model based on a condition of the residual lifetime conservation},
  journal = {European Journal of Industrial Engineering},
  year = {2014},
  volume = {8},
  number = {3},
  pages = {349-365},
  url = {http://www.inderscience.com/info/inarticle.php?artid=60995},
  doi = {10.1504/EJIE.2014.060995}
}

Gurov S and Utkin L (2014), "A load-share reliability model under the changeable piecewise smooth load", Journal of Quality and Reliability Engineering. Vol. 2014(ID 971489), pp. 1-11.

BibTeX:

@article{Gurov-Utkin-2014b,
  author = {S.V. Gurov and L.V. Utkin},
  title = {A load-share reliability model under the changeable piecewise smooth load},
  journal = {Journal of Quality and Reliability Engineering},
  year = {2014},
  volume = {2014},
  number = {ID 971489},
  pages = {1-11},
  doi = {10.1155/2014/971489}
}

Utkin L (2014), "Reducing the Pareto optimal set in MCDM using imprecise probabilities", International Journal of Operational Research. Vol. 19(1), pp. 21-39.

BibTeX:

@article{Utkin-14,
  author = {L.V. Utkin},
  title = {Reducing the Pareto optimal set in MCDM using imprecise probabilities},
  journal = {International Journal of Operational Research},
  year = {2014},
  volume = {19},
  number = {1},
  pages = {21-39},
  doi = {10.1504/IJOR.2014.057840}
}

Utkin L (2014), "A framework for imprecise robust one-class classification models", International Journal of Machine Learning and Cybernetics. Vol. 5(3), pp. 379-393.

[BibTeX] [DOI] [URL]

BibTeX:

@article{Utkin-14a,
  author = {L.V. Utkin},
  title = {A framework for imprecise robust one-class classification models},
  journal = {International Journal of Machine Learning and Cybernetics},
  year = {2014},
  volume = {5},
  number = {3},
  pages = {379-393},
  url = {http://link.springer.com/article/10.1007/s13042-012-0140-6},
  doi = {10.1007/s13042-012-0140-6}
}

Utkin L and Coolen F (2014), "Classification with support vector machines and Kolmogorov-Smirnov bounds", Journal of Statistical Theory and Practice. Vol. 8(2), pp. 297-318.

BibTeX:

@article{Utkin-Coolen-2014,
  author = {L.V. Utkin and F.P.A. Coolen},
  title = {Classification with support vector machines and Kolmogorov-Smirnov bounds},
  journal = {Journal of Statistical Theory and Practice},
  year = {2014},
  volume = {8},
  number = {2},
  pages = {297-318},
  doi = {10.1080/15598608.2013.788985}
}

Utkin L and Zhuk Y (2014), "Imprecise prior knowledge incorporating into one-class classification", Knowledge and Information Systems. Vol. 41(1), pp. 53-76.

BibTeX:

@article{Utkin-Zhuk-14,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Imprecise prior knowledge incorporating into one-class classification},
  journal = {Knowledge and Information Systems},
  year = {2014},
  volume = {41},
  number = {1},
  pages = {53-76},
  doi = {10.1007/s10115-013-0661-7}
}

Utkin L and Zhuk Y (2014), "Robust boosting classification models with local sets of probability distributions", Knowledge-Based Systems., May, 2014. Vol. 61(7), pp. 59-75.

[BibTeX] [DOI] [URL]

BibTeX:

@article{Utkin-Zhuk-2014a,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Robust boosting classification models with local sets of probability distributions},
  journal = {Knowledge-Based Systems},
  year = {2014},
  volume = {61},
  number = {7},
  pages = {59-75},
  url = {http://www.sciencedirect.com/science/article/pii/S0950705114000562},
  doi = {10.1016/j.knosys.2014.02.007}
}

Utkin L, Zhuk Y and Chekh A (2014), "A robust one-class classification model with interval-valued data based on belief functions and minimax strategy", In Machine Learning and Data Mining in Pattern Recognition. Heidelberg Vol. 8556, pp. 107-118. Springer.

BibTeX:

@inproceedings{Utkin-Zhuk-Check-2014,
  author = {L.V. Utkin and Y.A. Zhuk and A.I. Chekh},
  editor = {Petra Perner},
  title = {A robust one-class classification model with interval-valued data based on belief functions and minimax strategy},
  booktitle = {Machine Learning and Data Mining in Pattern Recognition},
  publisher = {Springer},
  year = {2014},
  volume = {8556},
  pages = {107-118},
  doi = {10.1007/978-3-319-08979-9_9}
}

Utkin L, Zhuk Y and Selikhovkin I (2014), "An imprecise model of combining expert judgments about quantiles", European Journal of Technology and Design. Vol. 3(1), pp. 49-60.

BibTeX:

@article{Utkin-Zhuk-Selikhovkin-2014,
  author = {L.V. Utkin and Y.A. Zhuk and I.A. Selikhovkin},
  title = {An imprecise model of combining expert judgments about quantiles},
  journal = {European Journal of Technology and Design},
  year = {2014},
  volume = {3},
  number = {1},
  pages = {49-60},
  doi = {10.13187/issn.2310-0133}
}

Utkin L (2013), "An imprecise boosting-like approach to classification", International Journal of Pattern Recognition and Artificial Intelligence. Vol. 27(8), pp. 1-24.

BibTeX:

@article{Utkin-13a,
  author = {L.V. Utkin},
  title = {An imprecise boosting-like approach to classification},
  journal = {International Journal of Pattern Recognition and Artificial Intelligence},
  year = {2013},
  volume = {27},
  number = {8},
  pages = {1-24},
  doi = {10.1142/S0218001413510051}
}

Utkin L and Wiencierz A (2013), "An imprecise boosting-like approach to regression", In ISIPTA '13, Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications. Compiegne, France , pp. 345-354. SIPTA.

BibTeX:

@inproceedings{Utkin-Wiencierz-13,
  author = {L.V. Utkin and A. Wiencierz},
  editor = {Fabio Cozman and Therry Denoeux and Sébastien Destercke and Teddy Seidfenfeld},
  title = {An imprecise boosting-like approach to regression},
  booktitle = {ISIPTA '13, Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications},
  publisher = {SIPTA},
  year = {2013},
  pages = {345--354},
  url = {http://www.sipta.org/isipta13/index.php?id=paper&paper=035.html}
}

Utkin L and Zhuk Y (2013), "Fuzzy decision making using the imprecise Dirichlet model", International Journal of Mathematics in Operational Research. Vol. 5(1), pp. 74-90.

BibTeX:

@article{Utkin-Zhuk-13,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Fuzzy decision making using the imprecise Dirichlet model},
  journal = {International Journal of Mathematics in Operational Research},
  year = {2013},
  volume = {5},
  number = {1},
  pages = {74-90},
  doi = {10.1504/IJMOR.2013.050513}
}

Utkin L and Zhuk Y (2013), "Imprecise imputation as a tool for solving classification problems with mean values of unobserved features", Advances in Artificial Intelligence. Vol. 2013(ID 176890), pp. 1-12.

[BibTeX] [DOI] [URL]

BibTeX:

@article{Utkin-Zhuk-13b,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Imprecise imputation as a tool for solving classification problems with mean values of unobserved features},
  journal = {Advances in Artificial Intelligence},
  year = {2013},
  volume = {2013},
  number = {ID 176890},
  pages = {1-12},
  url = {http://dx.doi.org/10.1155/2013/176890},
  doi = {10.1155/2013/176890}
}

Utkin L and Zhuk Y (2013), "Robust novelty detection in the framework of a contamination neighbourhood", International Journal of Intelligent Information and Database Systems. Vol. 7(3), pp. 205-224.

BibTeX:

@article{Utkin-Zhuk-13c,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Robust novelty detection in the framework of a contamination neighbourhood},
  journal = {International Journal of Intelligent Information and Database Systems},
  year = {2013},
  volume = {7},
  number = {3},
  pages = {205-224},
  doi = {10.1504/IJIIDS.2013.053830}
}

Utkin L, Zhuk Y and Chekh A (2013), "An ensemble-based feature selection algorithm using combination of support vector machine and filter methods for solving classification problems", European Journal of Technology and Design. Vol. 1(1), pp. 70-76.

BibTeX:

@article{Utkin-Zhuk-Check-2014c,
  author = {L.V. Utkin and Y.A. Zhuk and A.I. Chekh},
  title = {An ensemble-based feature selection algorithm using combination of support vector machine and filter methods for solving classification problems},
  journal = {European Journal of Technology and Design},
  year = {2013},
  volume = {1},
  number = {1},
  pages = {70-76}
}

Gurov S and Utkin L (2012), "Load-share reliability models with the piecewise constant load", International Journal of Reliability and Safety. Vol. 6(4), pp. 338-353.

[Abstract] [BibTeX] [DOI]

Abstract: In this paper, we study methods for reliability analysis of the loadshare
models. In load-share systems, component or system failure rates
depend on the working state of the other components in the system
or on changeable conditions of system functioning. A special type
of load, namely the piecewise constant load is investigated. The
main assumption used in the paper is the so-called `condition of
the residual lifetime conservation' of the system, which is equivalent
to the condition of continuity of the reliability (survivor) function.
Rather simple recurrent expressions are obtained for computing reliability
measures. Various numerical examples illustrate the proposed models.

BibTeX:

@article{Gurov-Utkin-2012,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Load-share reliability models with the piecewise constant load},
  journal = {International Journal of Reliability and Safety},
  year = {2012},
  volume = {6},
  number = {4},
  pages = {338-353},
  doi = {10.1504/IJRS.2012.049599}
}

Utkin L (2012), "Fuzzy one-class classification model using contamination neighborhoods", Advances in Fuzzy Systems. Vol. 2012, pp. 1-10.

BibTeX:

@article{Utkin12a,
  author = {L.V. Utkin},
  title = {Fuzzy one-class classification model using contamination neighborhoods},
  journal = {Advances in Fuzzy Systems},
  year = {2012},
  volume = {2012},
  pages = {1-10},
  note = {Article ID 984325},
  doi = {10.1155/2012/984325}
}

Utkin L, Hieu N and Thang D (2012), "A pessimistic approach for solving a multi-criteria decision making", In Proceedings of the Fourth International Conference on Knowledge and Systems Engineering. DaNang, VietNam , pp. 121-128.

BibTeX:

@inproceedings{Utkin-Hieu-Thang12,
  author = {L.V. Utkin and N.V. Hieu and D.D. Thang},
  title = {A pessimistic approach for solving a multi-criteria decision making},
  booktitle = {Proceedings of the Fourth International Conference on Knowledge and Systems Engineering},
  year = {2012},
  pages = {121-128},
  doi = {10.1109/KSE.2012.12}
}

Utkin L and Simanova N (2012), "The DS/AHP method under partial information about criteria and alternatives by several levels of criteria", International Journal of Information Technology and Decision Making. Vol. 11(2), pp. 307-326.

[Abstract] [BibTeX] [DOI]

Abstract: An extension of the DS/AHP method is proposed in the paper. It takes
into account the fact that the multi-criteria decision problem might
have several levels of criteria. Moreover, it is assumed that expert
judgments concerning the criteria are imprecise and incomplete. The
proposed extension also uses groups of experts or decision makers
for comparing decision alternatives and criteria. However, it does
not require assigning favorability values for groups of decision
alternatives and criteria. The computation procedure for processing
and aggregating the incomplete information about criteria and decision
alternatives is reduced to solving a finite set of linear programming
problems. Numerical examples explain in detail and illustrate the
proposed approach.

BibTeX:

@article{Utkin-Simanova12,
  author = {L.V. Utkin and N.V. Simanova},
  title = {The DS/AHP method under partial information about criteria and alternatives by several levels of criteria},
  journal = {International Journal of Information Technology and Decision Making},
  year = {2012},
  volume = {11},
  number = {2},
  pages = {307-326},
  doi = {10.1142/S0219622012400044}
}

Utkin V and Utkin L (2012), "Calculating the reliability of machine parts by means of truncated probability-distribution functions", Russian Engineering Research. Vol. 32(9-10), pp. 627-630.

BibTeX:

@article{Utkin-Utkin12a,
  author = {V.S. Utkin and L.V. Utkin},
  title = {Calculating the reliability of machine parts by means of truncated probability-distribution functions},
  journal = {Russian Engineering Research},
  year = {2012},
  volume = {32},
  number = {9--10},
  pages = {627-630},
  doi = {10.3103/S1068798X12070246}
}

Utkin L and Zhuk Y (2012), "A machine learning algorithm for classification under extremely scarce information", International Journal of Data Analysis Techniques and Strategies. Vol. 4(2), pp. 115-133.

[Abstract] [BibTeX] [DOI]

Abstract: When it is difficult to get learning data during the training time,
we have to classify objects by having extremely small information
about their feature. It is assumed in the paper that only some average
or mean value of every feature and the lower and upper bounds of
a set of its values are known. The main idea for constructing new
classification models taking into account this information is to
form a set of probability distributions bounded by some lower and
upper probability distribution functions (a p-box). A discriminant
function is derived in order to maximise the risk measure over the
set of distributions and to minimise it over a set of classification
parameters. The algorithm for classification is reduced to a parametric
linear programming problem.

BibTeX:

@article{Utkin-Zhuk12a,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {A machine learning algorithm for classification under extremely scarce information},
  journal = {International Journal of Data Analysis Techniques and Strategies},
  year = {2012},
  volume = {4},
  number = {2},
  pages = {115-133},
  doi = {10.1504/IJDATS.2012.046788}
}

Utkin L and Zhuk Y (2012), "Combining of judgments in imprecise voting multi-criteria decision problems", International Journal of Applied Decision Sciences. Vol. 5(3), pp. 199-214.

[Abstract] [BibTeX] [DOI]

Abstract: The imprecise voting multi-criteria decision problem depends on the
way for combining the judgments of experts or a decision maker. Modifications
of the DS/AHP method (Dempster-Shafer theory/analytic hierarchy process)
are studied in the paper. These modifications use groups of experts
or decision makers for comparing decision alternatives and criteria
and they do not require assigning favourability values for groups
of decision alternatives and criteria. Two ways are proposed for
combining the expert judgments. The first way uses the extended total
probability theorem for dealing with conditional basic probability
assignments. The second way considers every criterion as an unreliable
source of evidence and uses Dempster's combination rule. Moreover,
the imprecise Dirichlet model is applied to the modifications for
making cautious decision. Numerical examples explain and illustrate
the proposed modifications.

BibTeX:

@article{Utkin-Zhuk12b,
  author = {L.V. Utkin and Y.A. Zhuk},
  title = {Combining of judgments in imprecise voting multi-criteria decision problems},
  journal = {International Journal of Applied Decision Sciences},
  year = {2012},
  volume = {5},
  number = {3},
  pages = {199-214},
  doi = {10.1504/IJADS.2012.047667}
}

Utkin L, Zhuk Y and Selikhovkin I (2012), "A classification model based on incomplete information on features in the form of their average values", Scientific and Technical Information Processing. Vol. 39(6), pp. 336-344.

BibTeX:

@article{Utkin-Zhuk-Selikhovkin-12e,
  author = {L.V. Utkin and Yu.A. Zhuk and I.A. Selikhovkin},
  title = {A classification model based on incomplete information on features in the form of their average values},
  journal = {Scientific and Technical Information Processing},
  year = {2012},
  volume = {39},
  number = {6},
  pages = {336-344},
  doi = {10.3103/S0147688212060068}
}

Coolen FPA and Utkin LV (2011), "Imprecise Reliability", In International Encyclopedia of Statistical Science. , pp. 649-650. Springer Berlin Heidelberg.

BibTeX:

@incollection{Coolen-Utkin-2011,
  author = {Coolen, Frank P. A. and Utkin, Lev V.},
  editor = {Lovric, Miodrag},
  title = {Imprecise Reliability},
  booktitle = {International Encyclopedia of Statistical Science},
  publisher = {Springer Berlin Heidelberg},
  year = {2011},
  pages = {649-650},
  doi = {10.1007/978-3-642-04898-2_297}
}

Utkin L and Coolen F (2011), "On reliability growth models using Kolmogorov-Smirnov bounds", International Journal of Performability Engineering. Vol. 7(1), pp. 5-19.

BibTeX:

@article{Utkin-Coolen-2011,
  author = {L.V. Utkin and F.P.A. Coolen},
  title = {On reliability growth models using Kolmogorov-Smirnov bounds},
  journal = {International Journal of Performability Engineering},
  year = {2011},
  volume = {7},
  number = {1},
  pages = {5-19}
}

Utkin L and Coolen F (2011), "Interval-valued regression and classification models in the framework of machine learning", In Proc. of the Seventh Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'11. Innsbruck, Austria , pp. 371-380. SIPTA.

BibTeX:

@inproceedings{Utkin-Coolen2011a,
  author = {L.V. Utkin and F.P.A. Coolen},
  editor = {F. Coolen and G. de Cooman and Th. Fetz and M. Oberguggenberger},
  title = {Interval-valued regression and classification models in the framework of machine learning},
  booktitle = {Proc. of the Seventh Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'11},
  publisher = {SIPTA},
  year = {2011},
  pages = {371-380}
}

Utkin L (2010), "A class of pessimistic and optimistic regression models with interval and fuzzy data", In Proceedings of the Ninth International Conference on Application of Fuzzy Systems and Soft Computing. Prague, Czech Republic , pp. 27-38. b-Quadrat Verlag.

BibTeX:

@inproceedings{Utkin10a,
  author = {L.V. Utkin},
  title = {A class of pessimistic and optimistic regression models with interval and fuzzy data},
  booktitle = {Proceedings of the Ninth International Conference on Application of Fuzzy Systems and Soft Computing},
  publisher = {b-Quadrat Verlag},
  year = {2010},
  pages = {27-38}
}

Utkin L (2010), "Regression analysis using the imprecise Bayesian normal model", Int. J. Data Analysis Techniques and Strategies. Vol. 2(4), pp. 356-372.

BibTeX:

@article{Utkin10b,
  author = {L.V. Utkin},
  title = {Regression analysis using the imprecise Bayesian normal model},
  journal = {Int. J. Data Analysis Techniques and Strategies},
  year = {2010},
  volume = {2},
  number = {4},
  pages = {356-372},
  doi = {10.1504/IJDATS.2010.037477}
}

Utkin L and Kozine I (2010), "On new cautious structural reliability models in the framework of imprecise probabilities", In Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems. London, UK , pp. 1261-1267. Taylor & Francis Group.

BibTeX:

@incollection{Utkin-Kozine10,
  author = {L.V. Utkin and I.O. Kozine},
  editor = {Furuta and Frangopol and Shinozuka},
  title = {On new cautious structural reliability models in the framework of imprecise probabilities},
  booktitle = {Safety, Reliability and Risk of Structures, Infrastructures and Engineering Systems},
  publisher = {Taylor & Francis Group},
  year = {2010},
  pages = {1261-1267}
}

Utkin L and Kozine I (2010), "On new cautious structural reliability models in the framework of imprecise probabilities", Structural Safety. Vol. 32(6), pp. 411-416.

BibTeX:

@article{Utkin-Kozine10a,
  author = {L.V. Utkin and I.O. Kozine},
  title = {On new cautious structural reliability models in the framework of imprecise probabilities},
  journal = {Structural Safety},
  year = {2010},
  volume = {32},
  number = {6},
  pages = {411-416},
  doi = {10.1016/j.strusafe.2010.08.004}
}

Utkin L, Zatenko S and Coolen F (2010), "New interval Bayesian models for software reliability based on non-homogeneous Poisson processes", Automation and Remote Control. Vol. 71(5), pp. 935-944.

BibTeX:

@article{Utkin-Zatenko-Coolen10,
  author = {L.V. Utkin and S.I. Zatenko and F.P.A. Coolen},
  title = {New interval Bayesian models for software reliability based on non-homogeneous Poisson processes},
  journal = {Automation and Remote Control},
  year = {2010},
  volume = {71},
  number = {5},
  pages = {935-944},
  doi = {10.1134/S0005117910050218}
}

Utkin L (2009), "A new ranking procedure by incomplete pairwise comparisons using preference subsets", Intelligent Data Analysis. Vol. 13(2), pp. 229-241.

BibTeX:

@article{Utkin09,
  author = {L.V. Utkin},
  title = {A new ranking procedure by incomplete pairwise comparisons using preference subsets},
  journal = {Intelligent Data Analysis},
  year = {2009},
  volume = {13},
  number = {2},
  pages = {229-241},
  doi = {10.3233/IDA-2009-0365}
}

Utkin L (2009), "Multi-criteria decision making with a special type of information about importance of groups of criteria", In Proc. of the Sixth Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'09. Durham, United Kingdom, July, 2009. , pp. 411-420. SIPTA.

BibTeX:

@inproceedings{Utkin09a,
  author = {L.V. Utkin},
  editor = {Th. Augustin and F.P.A. Coolen and S. Moral and M.C.M. Troffaes},
  title = {Multi-criteria decision making with a special type of information about importance of groups of criteria},
  booktitle = {Proc. of the Sixth Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'09},
  publisher = {SIPTA},
  year = {2009},
  pages = {411-420}
}

Utkin L and Destercke S (2009), "Computing expectations with continuous p-boxes: Univariate case", International Journal of Approximate Reasoning. Vol. 50(5), pp. 778 - 798.

BibTeX:

@article{Utkin-Destercke09,
  author = {L.V. Utkin and S. Destercke},
  title = {Computing expectations with continuous p-boxes: Univariate case},
  journal = {International Journal of Approximate Reasoning},
  year = {2009},
  volume = {50},
  number = {5},
  pages = {778 - 798},
  doi = {10.1016/j.ijar.2009.02.004}
}

Utkin L, Zatenko S and Coolen F (2009), "Combining imprecise Bayesian and maximum likelihood estimation for reliability growth models", In Proc. of the Sixth Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'09. Durham, United Kingdom, July, 2009. , pp. 421-430. SIPTA.

BibTeX:

@inproceedings{Utkin-Zatenko-Coolen09,
  author = {L.V. Utkin and S.I. Zatenko and F.P.A. Coolen},
  editor = {Th. Augustin and F.P.A. Coolen and S. Moral and M.C.M. Troffaes},
  title = {Combining imprecise Bayesian and maximum likelihood estimation for reliability growth models},
  booktitle = {Proc. of the Sixth Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'09},
  publisher = {SIPTA},
  year = {2009},
  pages = {421-430}
}

Coolen F and Utkin L (2008), "Imprecise reliability", In Wiley Encyclopedia of Quantitative Risk Analysis and Assessment. Chichester, UK , pp. 875-881. Wiley & Sons.

BibTeX:

@incollection{Coolen-Utkin08,
  author = {F.P.A. Coolen and L.V. Utkin},
  editor = {E.L. Melnick and B.S. Everitt},
  title = {Imprecise reliability},
  booktitle = {Wiley Encyclopedia of Quantitative Risk Analysis and Assessment},
  publisher = {Wiley & Sons},
  year = {2008},
  pages = {875-881},
  doi = {10.1002/9780470061596.risk0476}
}

Utkin L (2008), "The imprecise Bayesian models of software quality", In The 2nd St.-Petersburg Humboldt-Kolleg Conference "Technologies of the 21st Century: Biological, Physical, Informational and Social Aspects". St.Petersburg, Russia , pp. 49-50. AVH.

BibTeX:

@inproceedings{Utkin08c,
  author = {L.V. Utkin},
  title = {The imprecise Bayesian models of software quality},
  booktitle = {The 2nd St.-Petersburg Humboldt-Kolleg Conference "Technologies of the 21st Century: Biological, Physical, Informational and Social Aspects"},
  publisher = {AVH},
  year = {2008},
  pages = {49-50}
}

Utkin LV and Augustin T (2008), "Risk analysis on the basis of partial information about quantiles", Reliability & Risk Analysis: Theory & Applications. Vol. 1(4), pp. 156-162.

BibTeX:

@article{Utkin-Augustin-2008,
  author = {Lev V. Utkin and Th. Augustin},
  title = {Risk analysis on the basis of partial information about quantiles},
  journal = {Reliability & Risk Analysis: Theory & Applications},
  year = {2008},
  volume = {1},
  number = {4},
  pages = {156-162}
}

Utkin L and Simanova N (2008), "Multi-criteria decision making by incomplete preferences", Journal of Uncertain Systems. Vol. 2(4), pp. 255-266.

BibTeX:

@article{Utkin-Simanova08k,
  author = {L.V. Utkin and N.V. Simanova},
  title = {Multi-criteria decision making by incomplete preferences},
  journal = {Journal of Uncertain Systems},
  year = {2008},
  volume = {2},
  number = {4},
  pages = {255-266}
}

Coolen F and Utkin L (2007), "Imprecise reliability: A concise overview", In Risk, Reliability and Social Safety: Proceedings of the European Safety and Reliabilty Conference 2007 (Esrel 2007). Stavanger, Norway , pp. 1959-1966. Taylor & Francis.

BibTeX:

@inproceedings{Coolen-Utkin07a,
  author = {F.P.A. Coolen and L.V. Utkin},
  editor = {T. Aven and J.E. Vinnem},
  title = {Imprecise reliability: A concise overview},
  booktitle = {Risk, Reliability and Social Safety: Proceedings of the European Safety and Reliabilty Conference 2007 (Esrel 2007)},
  publisher = {Taylor & Francis},
  year = {2007},
  pages = {1959-1966}
}

Utkin L (2007), "Imprecise inference models in risk analysis", In Fuzzy Sets, Probability, and Statistics - Gaps and Bridges. Linz, Austria, February, 2007. , pp. 116-119. Johannes Kepler University.

BibTeX:

@inproceedings{Utkin07,
  author = {L.V. Utkin},
  editor = {D. Dubois and E.P. Klement and R. Mesiar},
  title = {Imprecise inference models in risk analysis},
  booktitle = {Fuzzy Sets, Probability, and Statistics - Gaps and Bridges},
  publisher = {Johannes Kepler University},
  year = {2007},
  pages = {116-119}
}

Utkin L (2007), "Second-order uncertainty calculations by using the imprecise Dirichlet model", Intelligent Data Analysis. Vol. 11(3), pp. 225 - 244.

BibTeX:

@article{Utkin07b,
  author = {L.V. Utkin},
  title = {Second-order uncertainty calculations by using the imprecise Dirichlet model},
  journal = {Intelligent Data Analysis},
  year = {2007},
  volume = {11},
  number = {3},
  pages = {225 - 244}
}

Utkin L (2007), "Risk analysis under partial prior information and non-monotone utility functions", International Journal of Information Technology and Decision Making. Vol. 6(4), pp. 625-647.

BibTeX:

@article{Utkin07c,
  author = {L.V. Utkin},
  title = {Risk analysis under partial prior information and non-monotone utility functions},
  journal = {International Journal of Information Technology and Decision Making},
  year = {2007},
  volume = {6},
  number = {4},
  pages = {625-647}
}

Utkin L (2007), "Risk analysis and decision making under incomplete information" Saint-Petersburg Nauka.

BibTeX:

@book{Utkin07ke,
  author = {L.V. Utkin},
  title = {Risk analysis and decision making under incomplete information},
  publisher = {Nauka},
  year = {2007}
}

Utkin L and Augustin T (2007), "Decision making under incomplete data using the imprecise Dirichlet model", International Journal of Approximate Reasoning. Vol. 44(3), pp. 322-338.

BibTeX:

@article{Utkin-Augustin07,
  author = {L.V. Utkin and Th. Augustin},
  title = {Decision making under incomplete data using the imprecise Dirichlet model},
  journal = {International Journal of Approximate Reasoning},
  year = {2007},
  volume = {44},
  number = {3},
  pages = {322-338}
}

Utkin L and Coolen F (2007), "Imprecise reliability: An introductory overview", In Computational Intelligence in Reliability Engineering. New Metaheuristics, Neural and Fuzzy Techniques in Reliability. Vol. 2, pp. 261-306. Springer.

BibTeX:

@incollection{Utkin-Coolen07,
  author = {L.V. Utkin and F.P.A. Coolen},
  editor = {Gregory Levitin},
  title = {Imprecise reliability: An introductory overview},
  booktitle = {Computational Intelligence in Reliability Engineering. New Metaheuristics, Neural and Fuzzy Techniques in Reliability},
  publisher = {Springer},
  year = {2007},
  volume = {2},
  pages = {261-306}
}

Utkin L and Destercke S (2007), "Computing expectations with p-boxes: two views of the same problem", In Proc. of the 5th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'07. Prague, Czech Republic, July, 2007. , pp. 435-444. SIPTA.

BibTeX:

@inproceedings{Utkin-Destercke07,
  author = {L.V. Utkin and S. Destercke},
  editor = {G. de Cooman, J. Vejnarova, M. Zaffalon},
  title = {Computing expectations with p-boxes: two views of the same problem},
  booktitle = {Proc. of the 5th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'07},
  publisher = {SIPTA},
  year = {2007},
  pages = {435-444}
}

Utkin L (2006), "A method for processing the unreliable expert judgments about parameters of probability distribution", European Journal of Operational Research. Vol. 175(1), pp. 385-398.

BibTeX:

@article{Utkin06,
  author = {L.V. Utkin},
  title = {A method for processing the unreliable expert judgments about parameters of probability distribution},
  journal = {European Journal of Operational Research},
  year = {2006},
  volume = {175},
  number = {1},
  pages = {385-398}
}

Utkin L (2006), "Cautious reliability analysis of multi-state and continuum-state systems based on the imprecise Dirichlet model", International Journal of Reliability, Quality and Safety Engineering. Vol. 13(5), pp. 433-453.

BibTeX:

@article{Utkin06a,
  author = {L.V. Utkin},
  title = {Cautious reliability analysis of multi-state and continuum-state systems based on the imprecise Dirichlet model},
  journal = {International Journal of Reliability, Quality and Safety Engineering},
  year = {2006},
  volume = {13},
  number = {5},
  pages = {433-453}
}

Utkin L (2006), "Cautious analysis of project risks by interval-valued initial data", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Vol. 14(6), pp. 663-685.

BibTeX:

@article{Utkin06b,
  author = {L.V. Utkin},
  title = {Cautious analysis of project risks by interval-valued initial data},
  journal = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  year = {2006},
  volume = {14},
  number = {6},
  pages = {663-685}
}

Utkin L (2006), "Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model", Applied Mathematics and Computations. Vol. 183(1), pp. 394-408.

BibTeX:

@article{Utkin06d,
  author = {L.V. Utkin},
  title = {Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model},
  journal = {Applied Mathematics and Computations},
  year = {2006},
  volume = {183},
  number = {1},
  pages = {394-408}
}

Kozine I and Utkin L (2005), "Constructing imprecise probability distributions", International Journal of General Systems. Vol. 34, pp. 401-408.

BibTeX:

@article{Kozine-Utkin05a,
  author = {I.O. Kozine and L.V. Utkin},
  title = {Constructing imprecise probability distributions},
  journal = {International Journal of General Systems},
  year = {2005},
  volume = {34},
  pages = {401-408}
}

Utkin L (2005), "Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model", Fuzzy Sets and Systems. Vol. 154(3), pp. 413-431.

BibTeX:

@article{Utkin05,
  author = {L.V. Utkin},
  title = {Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model},
  journal = {Fuzzy Sets and Systems},
  year = {2005},
  volume = {154},
  number = {3},
  pages = {413-431}
}

Utkin L (2005), "A hierarchical model of reliability by imprecise parameters of lifetime distributions", International Journal of Reliability, Quality and Safety Engineering. Vol. 12(2), pp. 167-187.

BibTeX:

@article{Utkin05a,
  author = {L.V. Utkin},
  title = {A hierarchical model of reliability by imprecise parameters of lifetime distributions},
  journal = {International Journal of Reliability, Quality and Safety Engineering},
  year = {2005},
  volume = {12},
  number = {2},
  pages = {167-187}
}

Utkin L (2005), "Imprecise second-order uncertainty model for a system of independent random variables", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Vol. 13(2), pp. 177-194.

BibTeX:

@article{Utkin05b,
  author = {L.V. Utkin},
  title = {Imprecise second-order uncertainty model for a system of independent random variables},
  journal = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  year = {2005},
  volume = {13},
  number = {2},
  pages = {177-194}
}

Utkin L (2005), "Comments on the paper ''A behavioural model for vague probability assessments'' by Gert de Cooman", Fuzzy Sets and Systems. Vol. 154(3), pp. 367-369.

BibTeX:

@article{Utkin05c,
  author = {L.V. Utkin},
  title = {Comments on the paper ''A behavioural model for vague probability assessments'' by Gert de Cooman},
  journal = {Fuzzy Sets and Systems},
  year = {2005},
  volume = {154},
  number = {3},
  pages = {367-369}
}

Utkin L (2005), "Imprecise probabilities as a unified framework for risk analysis", In Technologies of the 21st Century: Biological, Physical, Informational and Social Aspects. Humboldt-Kolleg Conference. St.Petersburg , pp. 104-105. AVH.

BibTeX:

@inproceedings{Utkin05e,
  author = {L.V. Utkin},
  title = {Imprecise probabilities as a unified framework for risk analysis},
  booktitle = {Technologies of the 21st Century: Biological, Physical, Informational and Social Aspects. Humboldt-Kolleg Conference},
  publisher = {AVH},
  year = {2005},
  pages = {104-105}
}

Utkin L and Augustin T (2005), "Decision making under imperfect measurement using the imprecise Dirichlet model", In Proc. of the 4th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05. Pittsburgh, USA, July, 2005. , pp. 359-368. SIPTA.

BibTeX:

@inproceedings{Utkin-Augustin05,
  author = {L.V. Utkin and Th. Augustin},
  editor = {F.G. Cozman, R. Nau, T. Seidenfeld},
  title = {Decision making under imperfect measurement using the imprecise Dirichlet model},
  booktitle = {Proc. of the 4th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05},
  publisher = {SIPTA},
  year = {2005},
  pages = {359-368}
}

Utkin L and Augustin T (2005), "Efficient algorithms for decision making under partial prior information and general ambiguity attitudes", In Proc. of the 4th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05. Pittsburgh, USA, July, 2005. , pp. 349-358. SIPTA.

BibTeX:

@inproceedings{Utkin-Augustin05a,
  author = {L.V. Utkin and Th. Augustin},
  editor = {F.G. Cozman, R. Nau, T. Seidenfeld},
  title = {Efficient algorithms for decision making under partial prior information and general ambiguity attitudes},
  booktitle = {Proc. of the 4th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05},
  publisher = {SIPTA},
  year = {2005},
  pages = {349-358}
}

Utkin L and Kozine I (2005), "Computing system reliability given interval-valued characteristics of the components", Reliable Computing. Vol. 11(1), pp. 19-34.

BibTeX:

@article{Utkin-Kozine05,
  author = {L.V. Utkin and I.O. Kozine},
  title = {Computing system reliability given interval-valued characteristics of the components},
  journal = {Reliable Computing},
  year = {2005},
  volume = {11},
  number = {1},
  pages = {19-34}
}

Utkin L and Utkin V (2005), "Structural reliability analysis and the imprecise Dirichlet model", In Safety and Reliability of Engineering Systems and Structures. Proceedings of the 9th Int. Conference on Structural Safety and Reliability, ICOSSAR'05. Rome Millpress, Rotterdam.

BibTeX:

@inproceedings{Utkin-Utkin05a,
  author = {L.V. Utkin and V.S. Utkin},
  editor = {G. Augusti, G.I. Schueller, M. Ciampoli},
  title = {Structural reliability analysis and the imprecise Dirichlet model},
  booktitle = {Safety and Reliability of Engineering Systems and Structures. Proceedings of the 9th Int. Conference on Structural Safety and Reliability, ICOSSAR'05},
  publisher = {Millpress, Rotterdam},
  year = {2005}
}

Kozine I and Utkin L (2004), "An approach to combining unreliable pieces of evidence and their propagation in a system response analysis", Reliability Engineering and System Safety. Vol. 85(1-3), pp. 103-112.

BibTeX:

@article{Kozine-Utkin04,
  author = {I.O. Kozine and L.V. Utkin},
  title = {An approach to combining unreliable pieces of evidence and their propagation in a system response analysis},
  journal = {Reliability Engineering and System Safety},
  year = {2004},
  volume = {85},
  number = {1-3},
  pages = {103-112},
  note = {Special issue: Alternative Representations of Epistemic Uncertainty - Edited by J.C. Helton and W.L. Oberkampf}
}

Utkin L (2004), "An uncertainty model of the stress-strength reliability with imprecise parameters of probability distributions", Zeitschrift für Angewandte Mathematik und Mechanik (Applied Mathematics and Mechanics). Vol. 84(10-11), pp. 688-699.

BibTeX:

@article{Utkin03f,
  author = {L.V. Utkin},
  title = {An uncertainty model of the stress-strength reliability with imprecise parameters of probability distributions},
  journal = {Zeitschrift für Angewandte Mathematik und Mechanik (Applied Mathematics and Mechanics)},
  year = {2004},
  volume = {84},
  number = {10-11},
  pages = {688-699}
}

Utkin L (2004), "Reliability models of m-out-of-n systems under incomplete information", Computers and Operations Research. Vol. 31(10), pp. 1681-1702.

BibTeX:

@article{Utkin03l,
  author = {L.V. Utkin},
  title = {Reliability models of m-out-of-n systems under incomplete information},
  journal = {Computers and Operations Research},
  year = {2004},
  volume = {31},
  number = {10},
  pages = {1681-1702}
}

Utkin L (2004), "Interval reliability of typical systems with partially known probabilities", European Journal of Operational Research. Vol. 153(3), pp. 790-802.

BibTeX:

@article{Utkin04b,
  author = {L.V. Utkin},
  title = {Interval reliability of typical systems with partially known probabilities},
  journal = {European Journal of Operational Research},
  year = {2004},
  volume = {153},
  number = {3},
  pages = {790-802}
}

Utkin L (2004), "Belief functions and the imprecise Dirichlet model", In Proc. of the International Conf. on Fuzzy Sets and Soft Computing in Economics and Finance. St.Petersburg, Russia, June, 2004. Vol. 1, pp. 178-185. Mexican Petroleum Institute.

BibTeX:

@inproceedings{Utkin04d,
  author = {L.V. Utkin},
  editor = {I. Batyrshin and J. Kacprzyk and L. Sheremetov},
  title = {Belief functions and the imprecise Dirichlet model},
  booktitle = {Proc. of the International Conf. on Fuzzy Sets and Soft Computing in Economics and Finance},
  publisher = {Mexican Petroleum Institute},
  year = {2004},
  volume = {1},
  pages = {178-185}
}

Utkin L (2004), "Probabilities of judgments provided by unknown experts by using the imprecise Dirichlet model", Risk, Decision and Policy. Vol. 9(4), pp. 391 - 400.

BibTeX:

@article{Utkin04e,
  author = {L.V. Utkin},
  title = {Probabilities of judgments provided by unknown experts by using the imprecise Dirichlet model},
  journal = {Risk, Decision and Policy},
  year = {2004},
  volume = {9},
  number = {4},
  pages = {391 - 400}
}

Utkin L (2004), "A new efficient algorithm for computing the imprecise reliability of monotone systems", Reliability Engineering and System Safety. Vol. 86(3), pp. 179-190.

BibTeX:

@article{Utkin04k,
  author = {L.V. Utkin},
  title = {A new efficient algorithm for computing the imprecise reliability of monotone systems},
  journal = {Reliability Engineering and System Safety},
  year = {2004},
  volume = {86},
  number = {3},
  pages = {179-190}
}

Utkin L and Augustin T (2004), "Fuzzy decision making using the imprecise Dirichlet model", In Proc. of the International Conf. on Fuzzy Sets and Soft Computing in Economics and Finance. St.Petersburg, Russia, June, 2004. Vol. 1, pp. 186-193. Mexican Petroleum Institute.

BibTeX:

@inproceedings{Utkin-Augustin04,
  author = {L.V. Utkin and T. Augustin},
  editor = {I. Batyrshin and J. Kacprzyk and L. Sheremetov},
  title = {Fuzzy decision making using the imprecise Dirichlet model},
  booktitle = {Proc. of the International Conf. on Fuzzy Sets and Soft Computing in Economics and Finance},
  publisher = {Mexican Petroleum Institute},
  year = {2004},
  volume = {1},
  pages = {186-193}
}

Utkin L and Shaburov S (2004), "Risk analysis on the basis of judgments supplied by unknown experts", In Proc. of Int. Scientific School "Modelling and Analysis of Safety, Risk and Quality in Complex Systems". St. Petersburg, June, 2004. , pp. 574-579. IPME RAS.

BibTeX:

@inproceedings{Utkin-Shaburov04,
  author = {L.V. Utkin and S.P. Shaburov},
  editor = {I.A. Ryabinin and E.D. Solojentsev},
  title = {Risk analysis on the basis of judgments supplied by unknown experts},
  booktitle = {Proc. of Int. Scientific School "Modelling and Analysis of Safety, Risk and Quality in Complex Systems"},
  publisher = {IPME RAS},
  year = {2004},
  pages = {574-579}
}

Kozine I and Utkin L (2003), "Variety of judgements admitted in imprecise statistical reasoning", In Proc. of the 3-rd Safety and Reliability International Conference. Gdynia, Poland, May, 2003. Vol. 2, pp. 139-146. ROK Wydania III, Series: Monographs, nr. 3.

BibTeX:

@inproceedings{Kozine-Utkin03,
  author = {I.O. Kozine and L.V. Utkin},
  title = {Variety of judgements admitted in imprecise statistical reasoning},
  booktitle = {Proc. of the 3-rd Safety and Reliability International Conference},
  publisher = {ROK Wydania III, Series: Monographs, nr. 3},
  year = {2003},
  volume = {2},
  pages = {139-146}
}

Kozine I and Utkin L (2003), "Variety of judgements admitted in imprecise statistical reasoning", Risk, Decision and Policy. Vol. 8, pp. 111-120.

BibTeX:

@article{Kozine-Utkin03f,
  author = {I.O. Kozine and L.V. Utkin},
  title = {Variety of judgements admitted in imprecise statistical reasoning},
  journal = {Risk, Decision and Policy},
  year = {2003},
  volume = {8},
  pages = {111-120}
}

Utkin L (2003), "Imprecise second-order hierarchical uncertainty model", International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Vol. 11(3), pp. 301-317.

BibTeX:

@article{Utkin03,
  author = {L.V. Utkin},
  title = {Imprecise second-order hierarchical uncertainty model},
  journal = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  year = {2003},
  volume = {11},
  number = {3},
  pages = {301-317}
}

Utkin L (2003), "A second-order uncertainty model for the calculation of the interval system reliability", Reliability Engineering and System Safety. Vol. 79(3), pp. 341-351.

BibTeX:

@article{Utkin03a,
  author = {L.V. Utkin},
  title = {A second-order uncertainty model for the calculation of the interval system reliability},
  journal = {Reliability Engineering and System Safety},
  year = {2003},
  volume = {79},
  number = {3},
  pages = {341-351}
}

Utkin L (2003), "Imprecise reliability of cold standby systems", International Journal of Quality and Reliability Management. Vol. 20(6), pp. 722-739.

BibTeX:

@article{Utkin03m,
  author = {L.V. Utkin},
  title = {Imprecise reliability of cold standby systems},
  journal = {International Journal of Quality and Reliability Management},
  year = {2003},
  volume = {20},
  number = {6},
  pages = {722-739}
}

Utkin L (2003), "A second-order uncertainty model of independent random variables: An example of the stress-strength reliability", In Proc. of the 3rd Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'03. Lugano, Switzerland, July, 2003. , pp. 530-544. Carleton Scientific.

BibTeX:

@inproceedings{Utkin03o,
  author = {L.V. Utkin},
  editor = {J.-M. Bernard and T. Seidenfeld and M. Zaffalon},
  title = {A second-order uncertainty model of independent random variables: An example of the stress-strength reliability},
  booktitle = {Proc. of the 3rd Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'03},
  publisher = {Carleton Scientific},
  year = {2003},
  pages = {530-544}
}

Utkin L (2003), "Reliability of monotone systems by partially defined interval probabilities", In Proc. of the 3-rd Safety and Reliability International Conference. Gdynia, Poland, May, 2003. Vol. 2, pp. 187-194. ROK Wydania III, Series: Monographs, nr. 3.

BibTeX:

@inproceedings{Utkin03p,
  author = {L.V. Utkin},
  title = {Reliability of monotone systems by partially defined interval probabilities},
  booktitle = {Proc. of the 3-rd Safety and Reliability International Conference},
  publisher = {ROK Wydania III, Series: Monographs, nr. 3},
  year = {2003},
  volume = {2},
  pages = {187-194}
}

Utkin L and Augustin T (2003), "Decision making with imprecise second-order probabilities", In Proc. of the 3rd Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'03. Lugano, Switzerland, July, 2003. , pp. 545-559. Carleton Scientific.

BibTeX:

@inproceedings{Utkin-Augustin03,
  author = {L.V. Utkin and T. Augustin},
  editor = {J.-M. Bernard and T. Seidenfeld and M. Zaffalon},
  title = {Decision making with imprecise second-order probabilities},
  booktitle = {Proc. of the 3rd Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'03},
  publisher = {Carleton Scientific},
  year = {2003},
  pages = {545-559}
}

Utkin L and Augustin T (2003), "Risk analysis on the basis of partial information about quantiles", In Modelling and Analysis of Safety and Risk in Complex Systems. Proceedings of the Third Int. Scientific School MA SR -2003. Institute of Problems of Mechanical Engineering of Russian Academy of Science (IPME RAS), St. Petersburg, Russia, August, 2003. , pp. 172-178. SPb GUAP.

BibTeX:

@inproceedings{Utkin-Augustin03a,
  author = {L.V. Utkin and T. Augustin},
  title = {Risk analysis on the basis of partial information about quantiles},
  booktitle = {Modelling and Analysis of Safety and Risk in Complex Systems. Proceedings of the Third Int. Scientific School MA SR -2003},
  publisher = {SPb GUAP},
  year = {2003},
  pages = {172-178}
}

Utkin L and Kozine I (2003), "Computing system reliability given interval-valued characteristics of the components", Reliability Engineering and System Safety.

BibTeX:

@article{Utkin-Kozine03a,
  author = {L.V. Utkin and I.O. Kozine},
  title = {Computing system reliability given interval-valued characteristics of the components},
  journal = {Reliability Engineering and System Safety},
  year = {2003},
  note = {Submitted for publication}
}

Kozine I and Utkin L (2002), "Interval-valued finite Markov chains", Reliable Computing., April, 2002. Vol. 8, pp. 97-113.

BibTeX:

@article{Kozine-Utkin02a,
  author = {I.O. Kozine and L.V. Utkin},
  title = {Interval-valued finite Markov chains},
  journal = {Reliable Computing},
  year = {2002},
  volume = {8},
  pages = {97-113}
}

Kozine I and Utkin L (2002), "Processing unreliable judgements with an imprecise hierarchical model", Risk Decision and Policy. Vol. 7(3), pp. 325-339.

BibTeX:

@article{Kozine-Utkin02b,
  author = {I.O. Kozine and L.V. Utkin},
  title = {Processing unreliable judgements with an imprecise hierarchical model},
  journal = {Risk Decision and Policy},
  year = {2002},
  volume = {7},
  number = {3},
  pages = {325-339}
}

Utkin L (2002), "Interval software reliability models as generalization of probabilistic and fuzzy models", In German Open Conference on Probability and Statistics. Magdeburg, Germany, March, 2002. , pp. 55-56.

BibTeX:

@inproceedings{Utkin02a,
  author = {L.V. Utkin},
  title = {Interval software reliability models as generalization of probabilistic and fuzzy models},
  booktitle = {German Open Conference on Probability and Statistics},
  year = {2002},
  pages = {55-56}
}

Utkin L (2002), "Some structural properties of fuzzy reliability models", In Proceedings of the Int. Conf. on Soft Computing and Measurements (SCM'2002). St. Petersburg, Russia, June, 2002. Vol. 1, pp. 197-200. Gidrometeoizdat.

BibTeX:

@inproceedings{Utkin02f,
  author = {L.V. Utkin},
  title = {Some structural properties of fuzzy reliability models},
  booktitle = {Proceedings of the Int. Conf. on Soft Computing and Measurements (SCM'2002)},
  publisher = {Gidrometeoizdat},
  year = {2002},
  volume = {1},
  pages = {197-200}
}

Utkin L (2002), "Involving the unimodality condition of discrete probability distributions into imprecise calculations", In Proceedings of the Int. Conf. on Soft Computing and Measurements (SCM'2002). St. Petersburg, Russia, June, 2002. Vol. 1, pp. 53-56. Gidrometeoizdat.

BibTeX:

@inproceedings{Utkin02g,
  author = {L.V. Utkin},
  title = {Involving the unimodality condition of discrete probability distributions into imprecise calculations},
  booktitle = {Proceedings of the Int. Conf. on Soft Computing and Measurements (SCM'2002)},
  publisher = {Gidrometeoizdat},
  year = {2002},
  volume = {1},
  pages = {53-56}
}

Utkin L (2002), "A hierarchical uncertainty model under essentially incomplete information", In Soft Methods in Probability, Statistics and Data Analysis. Heidelberg, New York , pp. 156-163. Phisica-Verlag.

BibTeX:

@incollection{Utkin02h,
  author = {L.V. Utkin},
  editor = {P. Grzegorzewski and O. Hryniewicz and M.A. Gil},
  title = {A hierarchical uncertainty model under essentially incomplete information},
  booktitle = {Soft Methods in Probability, Statistics and Data Analysis},
  publisher = {Phisica-Verlag},
  year = {2002},
  pages = {156-163}
}

Utkin L (2002), "Imprecise calculation with the qualitative information about probability distributions", In Soft Methods in Probability, Statistics and Data Analysis. Heidelberg, New York , pp. 164-169. Phisica-Verlag.

BibTeX:

@incollection{Utkin02k,
  author = {L.V. Utkin},
  editor = {P. Grzegorzewski and O. Hryniewicz and M.A. Gil},
  title = {Imprecise calculation with the qualitative information about probability distributions},
  booktitle = {Soft Methods in Probability, Statistics and Data Analysis},
  publisher = {Phisica-Verlag},
  year = {2002},
  pages = {164-169}
}

Utkin L (2002), "Avoiding the conflicting risk assessments", In Proceedings of International Scientific School "Modelling and Analysis of Safety, Risk and Quality in Complex Systems". Saint Petersburg, Russia, July, 2002. , pp. 58-62.

BibTeX:

@inproceedings{Utkin02l,
  author = {L.V. Utkin},
  title = {Avoiding the conflicting risk assessments},
  booktitle = {Proceedings of International Scientific School "Modelling and Analysis of Safety, Risk and Quality in Complex Systems"},
  year = {2002},
  pages = {58-62}
}

Utkin L and Gurov S (2002), "Imprecise reliability for the new lifetime distribution classes", Journal of Statistical Planning and Inference. Vol. 105(1), pp. 215-232.

[Abstract] [BibTeX]

Abstract: To develop a general reliability theory, taking into account various
sources of information and a lack of satisfactory data on which estimates
of system parameters can be based, the theory of coherent imprecise
probabilities can be used. The purpose of the paper is to study the
reliability of systems based on coherent imprecise probability models,
taking into account the ageing aspect of the lifetime distributions,
independence of system components, and a lack of satisfactory data.
We use some new non-parametric life distribution classes which generalize
the well-known increasing and decreasing failure rate distributions
and can represent various judgements related to lifetime distributions.
In this paper we apply the theory of coherent imprecise probabilities
to reliability analysis of monotone systems.

BibTeX:

@article{Utkin-Gurov02a,
  author = {L.V. Utkin and S.V. Gurov},
  title = {Imprecise reliability for the new lifetime distribution classes},
  journal = {Journal of Statistical Planning and Inference},
  year = {2002},
  volume = {105},
  number = {1},
  pages = {215-232}
}

Utkin L, Gurov S and Shubinsky M (2002), "A fuzzy software reliability model with multiple-error introduction and removal", International Journal of Reliability, Quality and Safety Engineering. Vol. 9(3), pp. 215-228.

BibTeX:

@article{Utkin-Gurov-Sh02b,
  author = {L.V. Utkin and S.V. Gurov and M.I. Shubinsky},
  title = {A fuzzy software reliability model with multiple-error introduction and removal},
  journal = {International Journal of Reliability, Quality and Safety Engineering},
  year = {2002},
  volume = {9},
  number = {3},
  pages = {215-228}
}

Utkin L and Kozine I (2002), "Structural reliability modelling under partial source information", In Proceedings of the Third Int. Conf. on Mathematical Methods in Reliability (Methodology and Practice). Trondheim, Norway, June, 2002. , pp. 647-650. NTNU.

BibTeX:

@inproceedings{Utkin-Kozine02c,
  author = {L.V. Utkin and I.O. Kozine},
  editor = {H. Langseth and B. Lindqvist},
  title = {Structural reliability modelling under partial source information},
  booktitle = {Proceedings of the Third Int. Conf. on Mathematical Methods in Reliability (Methodology and Practice)},
  publisher = {NTNU},
  year = {2002},
  pages = {647-650}
}

Utkin L and Kozine I (2002), "A reliability model of multi-state units under partial information", In Proceedings of the Third Int. Conf. on Mathematical Methods in Reliability (Methodology and Practice). Trondheim, Norway, June, 2002. , pp. 643-646. NTNU.

BibTeX:

@inproceedings{Utkin-Kozine02d,
  author = {L.V. Utkin and I.O. Kozine},
  editor = {H. Langseth and B. Lindqvist},
  title = {A reliability model of multi-state units under partial information},
  booktitle = {Proceedings of the Third Int. Conf. on Mathematical Methods in Reliability (Methodology and Practice)},
  publisher = {NTNU},
  year = {2002},
  pages = {643-646}
}

Utkin L and Kozine I (2002), "Stress-strength reliability models under incomplete information", International Journal of General Systems. Vol. 31(6), pp. 549 - 568.

BibTeX:

@article{Utkin-Kozine02f,
  author = {L.V. Utkin and I.O. Kozine},
  title = {Stress-strength reliability models under incomplete information},
  journal = {International Journal of General Systems},
  year = {2002},
  volume = {31},
  number = {6},
  pages = {549 - 568}
}

Utkin L (2001), "Assessment of risk under incomplete information", In Proc. of International Scientific School "Modelling and Analysis of Safety, Risk and Quality in Complex Systems". Saint Petersburg, Russia, June, 2001. , pp. 319-322.

[Abstract] [BibTeX]

Abstract: Risk of an unwanted event happening is defined as the probability
of the occurrence of this event multiplied by the consequences. It
very often happens that the probability distributions cannot be determined
exactly, either due to measurement imperfections, or due to more
fundamental reasons, such as insufficient available information.
Therefore, it is proposed in the paper an approach for risk analysis
based on the imprecise probability theory. It is shown how the natural
extension as a main mathematical tool for dealing with incomplete
information can be adopted for computing the values of the system
risk.

BibTeX:

@inproceedings{Utkin01a,
  author = {L.V. Utkin},
  title = {Assessment of risk under incomplete information},
  booktitle = {Proc. of International Scientific School "Modelling and Analysis of Safety, Risk and Quality in Complex Systems"},
  year = {2001},
  pages = {319-322}
}

Utkin L and Chernobay M (2001), "Combining the heterogeneous fuzzy information", In Proc. of the Int. Conf. on Soft Computing and Measurements (SCM'01). St. Petersburg, Russia, June, 2001. Vol. 1, pp. 174-179. LETI.

BibTeX:

@inproceedings{Utkin-Chernobay01,
  author = {L.V. Utkin and M.L. Chernobay},
  title = {Combining the heterogeneous fuzzy information},
  booktitle = {Proc. of the Int. Conf. on Soft Computing and Measurements (SCM'01)},
  publisher = {LETI},
  year = {2001},
  volume = {1},
  pages = {174-179},
  note = {in Russian}
}

Utkin L and Gurov S (2001), "New reliability models based on imprecise probabilities", In Advanced Signal Processing Technology. , pp. 110-139. World Scientific.

[Abstract] [BibTeX]

Abstract: In practice, it is not likely that enough data about the failure behavior
can be collected to use the probability for reliability analyzing.
In some cases, the information we have about the functioning of components
and systems is not based on statistics, but is of a linguistic nature.
Very often the reliability of the system is presented in a form of
the mean time to failure (MTTF) or comparative MTTFs. In order to
use this reliability measure for further computations the new models
have to be developed. A theory of imprecise probabilities might be
a basis for reliability analyzing when we have such the incomplete
information about reliability behavior of systems. The basic tool
for computing new reliability measures is the natural extension which
can be regarded as a linear optimization problem. The reliability
of series, parallel, cold standby, m-out-of-n and simple repairable
systems is provided by using the natural extension. The chapter may
be viewed as an attempt to generalize the classical reliability theory
based on the probabilistic models and to study the basic properties
and advantages of the new reliability models.

BibTeX:

@incollection{Utkin-Gurov01a,
  author = {L.V. Utkin and S.V. Gurov},
  editor = {C. Hsu},
  title = {New reliability models based on imprecise probabilities},
  booktitle = {Advanced Signal Processing Technology},
  publisher = {World Scientific},
  year = {2001},
  pages = {110-139}
}

Utkin L and Kozine I (2001), "Different faces of the natural extension", In Imprecise Probabilities and Their Applications. Proc. of the 2nd Int. Symposium ISIPTA'01. Ithaca, USA, June, 2001. , pp. 316-323. Shaker Publishing.

[Abstract] [BibTeX]

Abstract: The natural extension, the key concept for the construction of coherent
imprecise models, can appear in different equivalent forms. Each
of them has pros and cons in the context of specific applications.
The use of a proper form can substantially facilitate the inference
and computation of the previsions of interest. The current paper
concerns four forms of the natural extension representation. It is
demonstrated that all of them are equivalent and one, discussed in
the last instance, is prominent solely for gambles defined on continuous
possibility sets. It is proven that the solution of the natural extension
problem for continuous gambles exists on the degenerate distributions.
Partial information and a characteristic to be calculated can be
thought as the expectations of some real-valued functions defined
on the possibility space. As they are expectations, they can be expressed
as functions of probability density functions and proper real-valued
functions (gambles). Each piece of the partial information acts as
a constraint to the probability distributions. All together the constraints
define the area of all distributions over which the interval of the
desired statistical characteristic will be searched. Throughout the
paper the natural extension is analyzed through the prism of reliability
application.

BibTeX:

@inproceedings{Utkin-Kozine01b,
  author = {L.V. Utkin and I.O. Kozine},
  editor = {G. de Cooman and T.L. Fine and T. Seidenfeld},
  title = {Different faces of the natural extension},
  booktitle = {Imprecise Probabilities and Their Applications. Proc. of the 2nd Int. Symposium ISIPTA'01},
  publisher = {Shaker Publishing},
  year = {2001},
  pages = {316-323}
}

Utkin L and Kozine I (2001), "Computing the reliability of complex systems", In Imprecise Probabilities and Their Applications. Proc. of the 2st Int. Symposium ISIPTA'01. Ithaca, USA, June, 2001. , pp. 324-331. Shaker Publishing.

[Abstract] [BibTeX]

Abstract: Methods for computing the reliability of complex systems described
in the current paper are grounded on partial information on system
components. A tool for inferring the intervals is the natural extension
and the upper and lower bounds of the characteristics to be interpreted
as coherent upper and lower previsions. A generic algorithm to find
a solution of the natural extension in a practically affordable way
braking down the general problem into problems that are much easier
to solve is described. In general this can be made at the cost of
a lesser precision in the previsions of interest. It is also shown
that for some particular cases the genuine, minimally coherent, solutions
can be found through the algorithm developed. The second part of
the paper is devoted to those cases when the reliability of components
constituting a system is represented by identical interval-valued
reliability characteristics. That is, all the components are characterized,
for example, by probabilities to failure in the same time interval,
or by mean times to failure or some others. Often namely these particular
cases take place in reliability analysis practice. In this respect,
based on the previous works by the authors of the current paper some
new findings have been disclosed and new results obtained on particular
practical cases.

BibTeX:

@inproceedings{Utkin-Kozine01c,
  author = {L.V. Utkin and I.O. Kozine},
  editor = {G. de Cooman and T.L. Fine and T. Seidenfeld},
  title = {Computing the reliability of complex systems},
  booktitle = {Imprecise Probabilities and Their Applications. Proc. of the 2st Int. Symposium ISIPTA'01},
  publisher = {Shaker Publishing},
  year = {2001},
  pages = {324-331}
}

Kozine I and Utkin L (2001), "Constructing coherent interval statistical models from unreliable judgements", In Proceedings of the European Conference on Safety and Reliability ESREL2001. Torino, Italy, September, 2001. , pp. 173-180.

[Abstract] [BibTeX]

Abstract: In processing expert judgements, it is common to assign experts' opinions
different degree of plausibility or probability. This results in
constructing some kind of hierarchical model. Hierarchical models
are widely used in Bayesian inference. Several models have been proposed
by the adherents of imprecise statistical reasoning. This paper describes
a new hierarchical uncertainty model of a more general form: first-
and second-order uncertainty models are both imprecise. We demonstrate
that depending on what kind of evidence the modeller has at hand
and the reliability quantifying the quality of expert judgement one
comes to different rules of combination. It is shown that the rules
of combination known in imprecise statistical reasoning can be inferred
from the approach proposed in the paper. We describe how the model
can be used to generate first-order coherent interval-valued previsions.
One of the other particularities of this paper is the use of the
natural extension in its ''primal'' and ''dual'' form which we consider
a very constructive tool for some applications.

BibTeX:

@inproceedings{Utkin-Kozine01d,
  author = {I.O. Kozine and L.V. Utkin},
  editor = {E. Zio and M. Demichela and N. Piccini},
  title = {Constructing coherent interval statistical models from unreliable judgements},
  booktitle = {Proceedings of the European Conference on Safety and Reliability ESREL2001},
  year = {2001},
  pages = {173-180}
}

Kozine I and Utkin L (2000), "Generalizing Markov chains to imprecise previsions", In Proceedings of the 5th International Conference on Probabilistic Safety Assessment and Management. Osaka, Japan, November-December, 2000. , pp. 383-388. Universal Academy Press, Tokyo.

[Abstract] [BibTeX]

Abstract: The requirement that precise probabilities be available is often not
realistic in many applications. Some other consistent probabilistic
approaches are needed to allow for imprecision in statistical reasoning.
In this paper the theory of coherent imprecise previsions is employed
to generalise discrete Markov chains to imprecise probabilities.
A general procedure of imprecise probability elicitation is analysed
as well. An example is provided.

BibTeX:

@inproceedings{Kozine-Utkin00a,
  author = {I.O. Kozine and L.V. Utkin},
  title = {Generalizing Markov chains to imprecise previsions},
  booktitle = {Proceedings of the 5th International Conference on Probabilistic Safety Assessment and Management},
  publisher = {Universal Academy Press, Tokyo},
  year = {2000},
  pages = {383-388}
}

Utkin L (2000), "Security analysis on the basis of the imprecise probability theory", In Foresight and Precaution. Proc. of ESREL 2000. Rotterdam, May, 2000. , pp. 1109-1114. Balkema.

[Abstract] [BibTeX]

Abstract: Security engineering is concerned with whether a system can survive
accidental or intentional attacks on it from outside. One of the
most important problems in security engineering is the numerical
evaluation of the security efficiency. According to Brocklehurst
et all. (Brocklehurst, 94), it is necessary to consider the effort,
reward, owner's loss and expenses as a measures of security. In order
to compute the new generalized or system security characteristics
from the above, it is proposed to use the Walley's theory of imprecise
probabilities. The basic tool for computing new generalized security
measures from the initial judgements is the natural extension which
can be regarded as a linear optimization problem. As examples we
analyze the operational security of an information system developed
as a client-server system with the hierarchical structure.

BibTeX:

@inproceedings{Utkin00,
  author = {L.V. Utkin},
  editor = {M.P. Cottam and D.W.Harvey and R.P. Pape and J. Tait},
  title = {Security analysis on the basis of the imprecise probability theory},
  booktitle = {Foresight and Precaution. Proc. of ESREL 2000},
  publisher = {Balkema},
  year = {2000},
  pages = {1109-1114}
}

Utkin L (2000), "Imprecise reliability analysis by comparative judgements", In Proceedings of the Second Int. Conf. on Mathematical Methods in Reliability. Bordeaux, France , pp. 1005-1008.

[Abstract] [BibTeX]

Abstract: In some cases, the information we have about the functioning of components
and systems is of a linguistic nature, i.e. the information is conveyed
by statements in natural language in a form of comparative judgements.
For example, there is a comparative judgement such as ''The component
A failure before time instant 10 hours is at least as probable as
the component B failure before time instant 20 hours''. Note that
we do not know about the specified component lifetime distributions
and about condition of the component independence. To analyze the
reliability of a system by such the partial information and comparative
judgements and to make maximal use of the available information without
additional assumptions, the theory of imprecise probabilities can
be employed. The reliability analysis in this case is reduced to
solution of the linear optimization problems. It is proved that the
presented approach is strong from the mathematical point of view
and can be applied to various systems.

BibTeX:

@inproceedings{Utkin00c,
  author = {L.V. Utkin},
  title = {Imprecise reliability analysis by comparative judgements},
  booktitle = {Proceedings of the Second Int. Conf. on Mathematical Methods in Reliability},
  year = {2000},
  pages = {1005-1008}
}

Utkin L and Gurov S (2000), "Generalized ageing lifetime distribution classes", In Foresight and Precaution. Proc. of ESREL 2000. Rotterdam, May, 2000. , pp. 1539-1545. Balkema.

[Abstract] [BibTeX]

Abstract: The judgements taking into account the ageing aspect of the lifetime
distributions (three phases of the so-called ''bathtub'' curve characterizing
the lifetime evolution of a system: early failure, useful life, wear-out
periods) play an important role in reliability analysis. Therefore,
we introduce new generalized lifetime distribution classes which
allow us to obtain more precise and flexible reliability measures
for systems than ageing classes introduced by Barlow and Proschan.
The various properties of classes are presented. The reliability
analysis of systems is given under condition that information on
the reliability is restricted by the lower and upper component mean
times to failure.

BibTeX:

@inproceedings{Utkin-Gurov00b,
  author = {L.V. Utkin and S.V. Gurov},
  editor = {M.P. Cottam and D.W.Harvey and R.P. Pape and J. Tait},
  title = {Generalized ageing lifetime distribution classes},
  booktitle = {Foresight and Precaution. Proc. of ESREL 2000},
  publisher = {Balkema},
  year = {2000},
  pages = {1539-1545}
}

Gurov S, Utkin L and Habarov S (2000), "Interval probability assessments for new lifetime distribution classes", In Proceedings of the Second Int. Conf. on Mathematical Methods in Reliability. Bordeaux, France , pp. 483-486.

[Abstract] [BibTeX]

Abstract: How to compute reliability of a system when the information is restricted
by the lower and upper component mean time to failure and there are
judgements taken into account the ageing aspect of the lifetime distributions?
To take into account the above problems, some new flexible lifetime
distribution classes H(r,s) are introduced. The proposed distribution
classes generalize the known IFRA and DFRA classes and can cover
a wide variety of kinds of partial and precise reliability information.
An efficient statistical method is developed for calculating parameters
r and s of the distribution classes from statistical data (random
time to failure). Numerical examples illustrate the methods.

BibTeX:

@inproceedings{Utkin-Gurov-Habarov00a,
  author = {S.V. Gurov and L.V. Utkin and S.P. Habarov},
  title = {Interval probability assessments for new lifetime distribution classes},
  booktitle = {Proceedings of the Second Int. Conf. on Mathematical Methods in Reliability},
  year = {2000},
  pages = {483-486}
}

Gurov S, Utkin L and Shubinsky I (2000), "Timing analysis of a fault-tolerance technique subject to hardware failures", Int. J. of Reliability, Quality and Safety Engineering. Vol. 7(2), pp. 97-111.

BibTeX:

@article{Utkin-Gurov-Sh96c,
  author = {S.V. Gurov and L.V. Utkin and I.B. Shubinsky},
  title = {Timing analysis of a fault-tolerance technique subject to hardware failures},
  journal = {Int. J. of Reliability, Quality and Safety Engineering},
  year = {2000},
  volume = {7},
  number = {2},
  pages = {97-111}
}

Utkin L and Kozine I (2000), "Conditional previsions in imprecise reliability", In Intelligent Techniques and Soft Computing in Nuclear Science and Engineering. Bruges, Belgium , pp. 72-79. World Scientific.

[Abstract] [BibTeX]

Abstract: Many reliability measures are based on conditional probabilities,
for example, failure rate, mean residual time to failure, the probability
of residual time to failure, etc. The paper addresses the issue of
how to calculate the conditional reliability characteristics in the
case of a lack of information about probability distributions. The
theory of coherent imprecise previsions is employed to solve the
problem in a consistent way compatible with the conventional approach.
Three methods of computing conditional reliability measures are considered
and developed in the paper: the generalized Bayes rule, the cut-prevision
rule, and the linear-fractional programming method.

BibTeX:

@inproceedings{Utkin-Kozine00,
  author = {L.V. Utkin and I.O. Kozine},
  editor = {D. Ruan and H.A. Abderrahim and P. D'Hondt},
  title = {Conditional previsions in imprecise reliability},
  booktitle = {Intelligent Techniques and Soft Computing in Nuclear Science and Engineering},
  publisher = {World Scientific},
  year = {2000},
  pages = {72-79}
}

Utkin L and Shubinsky I (2000), "Imrecise reliability of systems with fuzzy states", In Proceedings of the Int. Conf. On Soft Computing and Measurements (SCM'2000). St. Petersburg, Russia , pp. 164-167. SPbETU.

[Abstract] [BibTeX]

Abstract: Systems cannot be simply viewed as failed or non-failed in a large
variety of cases and the system success and failure should be characterized
by fuzzy states. At the same time the system failure behavior is
fully characterized in the context of the probability measures. The
traditional approach for system analysing assumes that probabilities
of the system crisp states are known. However, it is difficult sometimes
to obtain these probabilities and only bounds of the levels of performance
are known. One of the most promising tool for reliability assessments
by such partial information is the Walley's theory of coherent imprecise
probabilities. In the present paper, application of this theory to
reliability of systems with fuzzy states are studied.

BibTeX:

@inproceedings{Utkin-Shubinsky00,
  author = {L.V. Utkin and I.B. Shubinsky},
  title = {Imrecise reliability of systems with fuzzy states},
  booktitle = {Proceedings of the Int. Conf. On Soft Computing and Measurements (SCM'2000)},
  publisher = {SPbETU},
  year = {2000},
  pages = {164-167}
}

Utkin L and Shubinsky I (2000), "Unconventional Methods of the Information System Reliability Assessment" St. Petersburg Lubavich Publ..

BibTeX:

@book{Utkin-Shubinsky00a,
  author = {L.V. Utkin and I.B. Shubinsky},
  title = {Unconventional Methods of the Information System Reliability Assessment},
  publisher = {Lubavich Publ.},
  year = {2000},
  note = {in Russian}
}

Utkin L and Gurov S (1999), "Imprecise reliability of general structures", Knowledge and Information Systems. Vol. 1(4), pp. 459-480.

[Abstract] [BibTeX]

Abstract: The paper discusses the important aspects of the reliability of systems
with an imprecise general model of the structure function. It is
assumed that the information about reliability behavior of components
is restricted by the mean levels of component performance. In this
case the classical reliability theory cannot provide a way for analyzing
the reliability of systems. The theory of imprecise probabilities
may be a basis in developing a general reliability theory which allows
us to solve such problems. The basic tool for computing new reliability
measures is the natural extension which can be regarded as a linear
optimization problem. However, the linear programming computations
will become impracticable when the number of components in the system
is large. Therefore, the main aim of the paper is to obtain explicit
expressions for computing the system reliability measures. We analyze
the reliability of general structures and typical systems. The numerical
examples illustrate the usefulness of the presented approach to reliability
analyzing.

BibTeX:

@article{Utkin-Gurov99,
  author = {L.V. Utkin and S.V. Gurov},
  title = {Imprecise reliability of general structures},
  journal = {Knowledge and Information Systems},
  year = {1999},
  volume = {1},
  number = {4},
  pages = {459-480}
}

Utkin L and Gurov S (1999), "Imprecise reliability models for the general lifetime distribution classes", In ISIPTA '99 - Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications. Zwijnaarde, Belgium , pp. 333-342.

[Abstract] [BibTeX]

Abstract: To develop a general reliability theory taking into account various
sources of information and a lack of satisfactory data on which estimates
of system parameters can be based, the theory of imprecise probabilities
can be used. The purpose of the paper is to study structural reliability
based on the imprecise probability models taking into account the
ageing aspect of the lifetime distributions, independence of system
components, and a lack of satisfactory data. We use the new non-parametric
life distribution classes which generalize the well-known increasing
and decreasing failure rate distributions and can represent various
judgements related to the lifetime distributions. In this paper we
apply the theory of imprecise probabilities to reliability analysis
of monotone systems.

BibTeX:

@inproceedings{Utkin-Gurov99c,
  author = {L.V. Utkin and S.V. Gurov},
  editor = {G. de Cooman and F.G. Cozman and S. Moral and P. Walley},
  title = {Imprecise reliability models for the general lifetime distribution classes},
  booktitle = {ISIPTA '99 - Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications},
  year = {1999},
  pages = {333-342}
}

Gurov S and Utkin L (1999), "Reliability of Systems under Incomplete Information" Saint Petersburg Lubavich Publ..

[Abstract] [BibTeX]

Abstract: New methods of reliability analysis by limited and incomplete information
about the component reliability are studied. The methods are based
on usage the imprecise probability theory. There is complete information
about reliability of a system and its components if (i) a system
structure is known; (ii) the precise probability component lifetime
distributions are known; (iii) there is information about independence
of the system components. It is shown that the reliability analysis
problems can be reduced to special optimization problems that are
linear for some important special cases. The present methods allow
us to use only available information without additional assumption
that may be incorrect. New lifetime distribution classes are introduced.
These classes generalize the well-known increasing and decreasing
failure rate distributions and can represent various quantitative
and qualitative judgements related to lifetime distributions. The
statistical inference procedure for computing the parameters of classes
from sample data is proposed. A lot of examples illustrate new methods.
The book is recommended to scientists and engineers dealing with
the reliability and safety analysis and prediction.

BibTeX:

@book{Utkin-Gurov99f,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Reliability of Systems under Incomplete Information},
  publisher = {Lubavich Publ.},
  year = {1999},
  note = {in Russian}
}

Utkin L (1998), "General reliability theory on the basis of upper and lower previsions", In Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry. Proceedings of the 3rd International FLINS Workshop. Antwerp, Belgium, September, 1998. , pp. 36-43.

BibTeX:

@inproceedings{Utkin98,
  author = {L.V. Utkin},
  editor = {D. Ruan and H.A. Abderrahim and P. D'hondt and E.E. Kerre},
  title = {General reliability theory on the basis of upper and lower previsions},
  booktitle = {Fuzzy Logic and Intelligent Technologies for Nuclear Science and Industry. Proceedings of the 3rd International FLINS Workshop},
  year = {1998},
  pages = {36-43}
}

Utkin L (1998), "Knowledge representation for characterizing economical and technical measures under uncertainty: general approach", In 9th Interchair Meeting of Economists and Organisers in Wood Industry 'Current Economic Questions in Forestry and Wood Industry'. Sopron, Hungary, July, 1998.

BibTeX:

@inproceedings{Utkin98b,
  author = {L.V. Utkin},
  title = {Knowledge representation for characterizing economical and technical measures under uncertainty: general approach},
  booktitle = {9th Interchair Meeting of Economists and Organisers in Wood Industry 'Current Economic Questions in Forestry and Wood Industry'},
  year = {1998}
}

Utkin L and Gurov S (1998), "Steady-state reliability of repairable systems by combined probability and possibility assumptions", Fuzzy Sets and Systems. Vol. 97, pp. 193-202.

BibTeX:

@article{Utkin-Gurov98,
  author = {L.V. Utkin and S.V. Gurov},
  title = {Steady-state reliability of repairable systems by combined probability and possibility assumptions},
  journal = {Fuzzy Sets and Systems},
  year = {1998},
  volume = {97},
  pages = {193-202}
}

Utkin L and Gurov S (1998), "New reliability models on the basis of the theory of imprecise probabilities", In IIZUKA'98 - The 5th International Conference on Soft Computing and Information / Intelligent Systems. Iizuka, Japan, October, 1998. Vol. 2, pp. 656-659.

[Abstract] [BibTeX]

Abstract: In practice, it is not likely that enough data about the failure or
repair behavior can be collected to correctly use the probability
measure for reliability analyzing. Moreover, in some cases, the information
we have about the functioning of components and systems is not based
on statistics, but is of a linguistic nature, i.e. the information
is conveyed by statements in natural language. Very often the reliability
of the system is presented in a form of the mean time to failure
(MTTF) or comparative MTTF. In order to use this reliability measure
for future computations the new models have to be developed. A theory
of imprecise probabilities might be a basis for reliability analyzing
when we have such the incomplete information about reliability behavior
of the system. The paper may be viewed as an attempt to generalize
the classical reliability theory based on the probabilistic models
and to study the basic properties and advantages of the new reliability
models.

BibTeX:

@inproceedings{Utkin-Gurov98a,
  author = {L.V. Utkin and S.V. Gurov},
  title = {New reliability models on the basis of the theory of imprecise probabilities},
  booktitle = {IIZUKA'98 - The 5th International Conference on Soft Computing and Information / Intelligent Systems},
  year = {1998},
  volume = {2},
  pages = {656-659}
}

Gurov S and Utkin L (1997), "Reliability and optimization of systems with periodic modifications in the probability and possibility contexts", Microelectronics and Reliability. Vol. 37, pp. 801-808.

BibTeX:

@article{Utkin-Gurov97d,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Reliability and optimization of systems with periodic modifications in the probability and possibility contexts},
  journal = {Microelectronics and Reliability},
  year = {1997},
  volume = {37},
  pages = {801-808}
}

Gurov S, Habarov S and Utkin L (1997), "Safety analysis of a multi-phased control system", Microelectronics and Reliability. Vol. 37, pp. 243-254.

BibTeX:

@article{Utkin-Gurov-Hab97,
  author = {S.V. Gurov and S.P. Habarov and L.V. Utkin},
  title = {Safety analysis of a multi-phased control system},
  journal = {Microelectronics and Reliability},
  year = {1997},
  volume = {37},
  pages = {243-254}
}

Utkin L, Gurov S and Shubinsky I (1997), "Reliability of systems by mixture forms of uncertainty", Microelectronics and Reliability. Vol. 37, pp. 779-783.

BibTeX:

@article{Utkin-Gurov-Sh96,
  author = {L.V. Utkin and S.V. Gurov and I.B. Shubinsky},
  title = {Reliability of systems by mixture forms of uncertainty},
  journal = {Microelectronics and Reliability},
  year = {1997},
  volume = {37},
  pages = {779-783}
}

Utkin L, Gurov S and Shubinsky I (1997), "Analysis of CIMS by fuzzy human operator behavior", Journal of Quality in Maintenance Engineering. Vol. 3, pp. 189-198.

BibTeX:

@article{Utkin-Gurov-Sh97b,
  author = {L.V. Utkin and S.V. Gurov and I.B. Shubinsky},
  title = {Analysis of CIMS by fuzzy human operator behavior},
  journal = {Journal of Quality in Maintenance Engineering},
  year = {1997},
  volume = {3},
  pages = {189-198}
}

Gurov S and Utkin L (1996), "Reliability of repairable systems with periodic modifications", Microelectronics and Reliability. Vol. 36, pp. 27-35.

BibTeX:

@article{Utkin-Gurov96,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Reliability of repairable systems with periodic modifications},
  journal = {Microelectronics and Reliability},
  year = {1996},
  volume = {36},
  pages = {27-35}
}

Utkin L and Gurov S (1996), "A general formal approach for fuzzy reliability analysis in the possibility context", Fuzzy Sets and Systems. Vol. 83, pp. 203-213.

BibTeX:

@article{Utkin-Gurov96a,
  author = {L.V. Utkin and S.V. Gurov},
  title = {A general formal approach for fuzzy reliability analysis in the possibility context},
  journal = {Fuzzy Sets and Systems},
  year = {1996},
  volume = {83},
  pages = {203-213}
}

Utkin L and Gurov S (1996), "Reliability of composite software by different forms of uncertainty", Microelectronics and Reliability. Vol. 36, pp. 1459-1473.

BibTeX:

@article{Utkin-Gurov96c,
  author = {L.V. Utkin and S.V. Gurov},
  title = {Reliability of composite software by different forms of uncertainty},
  journal = {Microelectronics and Reliability},
  year = {1996},
  volume = {36},
  pages = {1459-1473}
}

Gurov S and Utkin L (1996), "Cold standby systems with imperfect and noninstantaneous switch-over mechanism", Microelectronics and Reliability. Vol. 36, pp. 1425-1438.

BibTeX:

@article{Utkin-Gurov96e,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Cold standby systems with imperfect and noninstantaneous switch-over mechanism},
  journal = {Microelectronics and Reliability},
  year = {1996},
  volume = {36},
  pages = {1425-1438}
}

Gurov S and Utkin L (1996), "Fuzzy Reliability of Gracefully Degrading Systems with the Composite Software", Int. J. of Reliability, Quality and Safety Engineering. Vol. 3, pp. 153-165.

BibTeX:

@article{Utkin-Gurov96f,
  author = {S.V. Gurov and L.V. Utkin},
  title = {Fuzzy Reliability of Gracefully Degrading Systems with the Composite Software},
  journal = {Int. J. of Reliability, Quality and Safety Engineering},
  year = {1996},
  volume = {3},
  pages = {153-165}
}

Utkin L, Gurov S and Shubinsky M (1996), "Reliability growth in the probability and possibility contexts", Microelectronics and Reliability. Vol. 36, pp. 1155-1166.

BibTeX:

@article{Utkin-Gurov-Sh96a,
  author = {L.V. Utkin and S.V. Gurov and M.I. Shubinsky},
  title = {Reliability growth in the probability and possibility contexts},
  journal = {Microelectronics and Reliability},
  year = {1996},
  volume = {36},
  pages = {1155-1166}
}

Gurov S and Utkin L (1995), "A new method to compute reliability of repairable series systems by arbitrary distributions", Microelectronics and Reliability. Vol. 35, pp. 81-85.

BibTeX:

@article{Utkin-Gurov95,
  author = {S.V. Gurov and L.V. Utkin},
  title = {A new method to compute reliability of repairable series systems by arbitrary distributions},
  journal = {Microelectronics and Reliability},
  year = {1995},
  volume = {35},
  pages = {81-85}
}

Gurov S and Utkin L (1995), "The time-dependent availability of repairable m-out-of-n and cold standby systems by arbitrary distributions and repair facilities", Microelectronics and Reliability. Vol. 35, pp. 1377-1393.

BibTeX:

@article{Utkin-Gurov95a,
  author = {S.V. Gurov and L.V. Utkin},
  title = {The time-dependent availability of repairable m-out-of-n and cold standby systems by arbitrary distributions and repair facilities},
  journal = {Microelectronics and Reliability},
  year = {1995},
  volume = {35},
  pages = {1377-1393}
}

Utkin L, Gurov S and Shubinsky I (1995), "A method to solve fuzzy reliability optimization problem", Microelectronics and Reliability. Vol. 35, pp. 171-181.

BibTeX:

@article{Utkin-Gurov-Sh95,
  author = {L.V. Utkin and S.V. Gurov and I.B. Shubinsky},
  title = {A method to solve fuzzy reliability optimization problem},
  journal = {Microelectronics and Reliability},
  year = {1995},
  volume = {35},
  pages = {171-181}
}

Gurov S, Utkin L and Shubinsky I (1995), "Two-sided bounds of reliability for large systems", Microelectronics and Reliability. Vol. 35, pp. 841-845.

BibTeX:

@article{Utkin-Gurov-Sh95a,
  author = {S.V. Gurov and L.V. Utkin and I.B. Shubinsky},
  title = {Two-sided bounds of reliability for large systems},
  journal = {Microelectronics and Reliability},
  year = {1995},
  volume = {35},
  pages = {841-845}
}

Gurov S, Utkin L and Shubinsky I (1995), "Optimal reliability allocation of redundant units and repair facilities by arbitrary failure and repair distributions", Microelectronics and Reliability. Vol. 35, pp. 1451-1460.

BibTeX:

@article{Utkin-Gurov-Sh95b,
  author = {S.V. Gurov and L.V. Utkin and I.B. Shubinsky},
  title = {Optimal reliability allocation of redundant units and repair facilities by arbitrary failure and repair distributions},
  journal = {Microelectronics and Reliability},
  year = {1995},
  volume = {35},
  pages = {1451-1460}
}

Utkin L (1994), "Redundancy optimization by fuzzy reliability and cost of system components", Microelectronics and Reliability. Vol. 34, pp. 53-59.

BibTeX:

@article{Utkin94,
  author = {L.V. Utkin},
  title = {Redundancy optimization by fuzzy reliability and cost of system components},
  journal = {Microelectronics and Reliability},
  year = {1994},
  volume = {34},
  pages = {53-59}
}

Utkin L (1994), "Knowledge based fuzzy reliability assessment", Microelectronics and Reliability. Vol. 34, pp. 863-874.

BibTeX:

@article{Utkin94a,
  author = {L.V. Utkin},
  title = {Knowledge based fuzzy reliability assessment},
  journal = {Microelectronics and Reliability},
  year = {1994},
  volume = {34},
  pages = {863-874}
}

Utkin L (1994), "Fuzzy reliability of repairable systems in the possibility context", Microelectronics and Reliability. Vol. 34, pp. 1865-1876.

[Abstract] [BibTeX]

Abstract: In this paper we study fuzzy time-dependent availability and unavailability
in the possibility context. These reliability characteristics are
described by possibility and necessity distribution functions. We
present recursive algorithms to compute the fuzzy reliability of
typical repairable systems, including series, parallel, k-out-of-n,
and consecutive-k-out-of-n.

BibTeX:

@article{Utkin94b,
  author = {L.V. Utkin},
  title = {Fuzzy reliability of repairable systems in the possibility context},
  journal = {Microelectronics and Reliability},
  year = {1994},
  volume = {34},
  pages = {1865-1876}
}

Utkin L and Gurov S (1994), "Reliability analysis of systems with fuzzy times of structure modifications", Microelectronics and Reliability. Vol. 34, pp. 1745-1754.

BibTeX:

@article{Utkin-Gurov94,
  author = {L.V. Utkin and S.V. Gurov},
  title = {Reliability analysis of systems with fuzzy times of structure modifications},
  journal = {Microelectronics and Reliability},
  year = {1994},
  volume = {34},
  pages = {1745-1754}
}

Gurov S and Utkin L (1994), "A new method to compute reliability of repairable m-out-of-n systems by arbitrary distributions", Microelectronics and Reliability. Vol. 34, pp. 1877-1889.

BibTeX:

@article{Utkin-Gurov94a,
  author = {S.V. Gurov and L.V. Utkin},
  title = {A new method to compute reliability of repairable m-out-of-n systems by arbitrary distributions},
  journal = {Microelectronics and Reliability},
  year = {1994},
  volume = {34},
  pages = {1877-1889}
}

Utkin L (1993), "The paradox of monotony of systems by fuzzy probability", Microelectronics and Reliability. Vol. 33, pp. 951-955.

BibTeX:

@article{Utkin93,
  author = {L.V. Utkin},
  title = {The paradox of monotony of systems by fuzzy probability},
  journal = {Microelectronics and Reliability},
  year = {1993},
  volume = {33},
  pages = {951-955}
}

Utkin L (1993), "Uncertainty importance of system components by fuzzy and interval probability", Microelectronics and Reliability. Vol. 33, pp. 1357-1364.

BibTeX:

@article{Utkin93a,
  author = {L.V. Utkin},
  title = {Uncertainty importance of system components by fuzzy and interval probability},
  journal = {Microelectronics and Reliability},
  year = {1993},
  volume = {33},
  pages = {1357-1364}
}

Utkin L (1993), "Uncertainty importance of multistate system components", Microelectronics and Reliability. Vol. 33, pp. 2021-2029.

BibTeX:

@article{Utkin93b,
  author = {L.V. Utkin},
  title = {Uncertainty importance of multistate system components},
  journal = {Microelectronics and Reliability},
  year = {1993},
  volume = {33},
  pages = {2021-2029}
}

Utkin L (1993), "A new heuristic method redundancy optimization in a consecutive-k-out-of-n:F system by fuzzy probability", Microelectronics and Reliability. Vol. 33, pp. 2197-2205.

BibTeX:

@article{Utkin93c,
  author = {L.V. Utkin},
  title = {A new heuristic method redundancy optimization in a consecutive-k-out-of-n:F system by fuzzy probability},
  journal = {Microelectronics and Reliability},
  year = {1993},
  volume = {33},
  pages = {2197-2205}
}