Main page

Selected Publications

 

·       Utkin L.V. (2015): The imprecise Dirichlet model as a basis for a new boosting classification algorithm. Neurocomputing, 2015, Vol. 151, Pp.1374-1383. DOI: 10.1016/j.neucom.2014.10.053 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Chekh A.I. (2015): A new robust model of one-class classification by interval-valued training data using the triangular kernel. Neural Networks, 2015, 69, 99-110. DOI: 10.1016/j.neunet.2015.05.004 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Wiencierz A. (2015): Improving over-fitting in ensemble regression by imprecise probabilities. Information Sciences, 2015, 317, 315-328. DOI: 10.1016/j.ins.2015.04.037 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Coolen F.P.A., Gurov S.V. (2015): Imprecise inference for warranty contract analysis. Reliability Engineering and System Safety, 2015, 138, 31-39. DOI: 10.1016/j.ress.2015.01.011 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Coolen F.P.A. (2015): Imprecise individual risk models of insurance. Journal of Uncertain Systems, 2015, 9, 198-214

·       Utkin L.V., Zhuk Y.A. (2015): Robust classifiers using imprecise probability models and importance of classes. International Journal on Artificial Intelligence Tools, 2015, 24, 1-28. DOI: DOI: 10.1142/S0218213015500086 (A version similar to the published paper can be downloaded.)

·       Gurov S.V., Utkin L.V. (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, 2015, 9, 21-35. DOI: 10.1504/IJRS.2015.071569 (A version similar to the published paper can be downloaded.)

·        Gurov S.V., Utkin L.V. (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. 2015, 229, 16-25. DOI:10.1177/1748006X14545636. (A version similar to the published paper can be downloaded.)

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

·       Utkin L.V., Zhuk Y.A. (2014): Robust boosting classification models with local sets of probability distributions // Knowledge-Based Systems. – 2014. - Vol. 61, No. 7. Pp. 59-75. DOI: 10.1016/j.knosys.2014.02.007 (A version similar to the published paper can be downloaded.)

·       Utkin L.V.,  Zhuk Y.A. (2014): Imprecise prior knowledge incorporating into one-class classification. Knowledge and Information Systems. 2014, - Vol. 41, Pp. 53-76. DOI: 10.1007/s10115-013-0661-7 (A version similar to the published paper can be downloaded.)

·       Utkin L.V. (2014): A framework for imprecise robust one-class classification models. International Journal of Machine Learning and Cybernetics. 2014. - Vol. 5, No. 3. Pp. 379-393. DOI: 10.1007/s13042-012-0140-6. DOI: 10.1007/s13042-012-0140-6 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Zhuk Y.A., Chekh A.I. (2014): A robust one-class classification model with interval-valued data based on belief functions and minimax strategy // Machine Learning and Data Mining in Pattern Recognition, Lecture Notes in Computer Science, Vol. 8556 Springer, 2014, Pp. 107-118. DOI: 10.1007/978-3-319-08979-9_9 (A version similar to the published paper can be downloaded.)

·        Utkin L.V., Coolen F.P.A. (2014): Classification with support vector machines and Kolmogorov-Smirnov bounds. Journal of Statistical Theory and Practice. 2014. – Vol. 8, No. 2. Pp. 297-318. DOI: 10.1080/15598608.2013.788985. (A version similar to the published paper can be downloaded.)

·       Utkin L.V. (2014): Reducing the Pareto optimal set in MCDM using imprecise probabilities. International Journal of Operational Research. 2014, - Vol. 19, Pp. 21-39. DOI: 10.1504/IJOR.2014.057840 (A version similar to the published paper can be downloaded.)

·        Gurov S.V., Utkin L.V.  (2014): A continuous extension of a load-share reliability model based on a condition of the residual lifetime conservation. European Journal of Industrial Engineering. 2014, - Vol. 8. pp. 349-365. DOI: 10.1504/EJIE.2014.060995 (A version similar to the published paper can be downloaded.)

·        Coolen F. & Utkin L.V.  (2014): Reliability and Risk. In: Introduction to Imprecise Probabilities. Augustin, T.; Coolen, F.; de Cooman, G. & Troffaes, M. (Eds.) Wiley, 2014, pp. 305-317

 ·      Utkin L.V. (2013): An imprecise boosting-like approach to classification. International Journal of Pattern Recognition and Artificial Intelligence. 2013, 27, 1-24. DOI: 10.1142/S0218001413510051 (A version similar to the published paper can be downloaded.)

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

·       Utkin L.V., Zhuk Y.A. (2013): An imprecise imputation approach to classification problems with mean values of unobserved features. Advances in Artificial Intelligence. 2013, 2013, 1-12. DOI: 10.1155/2013/176890 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Zhuk Y.A. (2013): Robust novelty detection in the framework of a contamination neighborhood. International Journal of Intelligent Information and Database Systems. 2013, - Vol. 7, Pp. 205-224 DOI: 10.1504/IJIIDS.2013.053830 (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Zhuk Y.A. (2013): Fuzzy decision making using the imprecise Dirichlet model. International Journal of Mathematics in Operational Research. Vol. 5, pp. 74-90. (A version similar to the published paper can be downloaded.)

·       Utkin L.V. and Gurov S.V. (2012): Load-share reliability models with the piecewise constant load. International Journal of Reliability and Safety. Vol. 6, pp. 338-353. DOI: 10.1504/IJRS.2012.049599 (A version similar to the published paper can be downloaded.)

·       Utkin L.V. (2012): Fuzzy one-class classification model using contamination neighborhoods. Advances in Fuzzy Systems. Vol. 2012, pp. 1-10. DOI: 10.1155/2012/984325

·       Utkin L.V., Zhuk Y.A. (2012): Combining of judgments in imprecise voting multi-criteria decision problems. International Journal of Applied Decision Sciences, Vol. 5, pp. 199-214. (A version similar to the published paper can be downloaded.)

·       Utkin L.V., Zhuk Y.A. (2012): A machine learning algorithm for classification under extremely scarce information. International Journal of Data Analysis Techniques and Strategies, Vol. 4, pp. 115-133. (A version similar to the published paper can be downloaded.)

·        Utkin L.V., Simanova N.V. (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, pp. 307-326. (A version similar to the published paper can be downloaded.)

·        Utkin L.V., Coolen F.P.A. (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. pp. 371-380 SIPTA. Innsbruck, Austria.

·        Coolen, F.P.A., Utkin L.V. (2011): On reliability growth models using Kolmogorov-Smirnov bounds. International Journal of Performability Engineering, Vol. 7, pp. 5-19. (A version similar to the published paper can be downloaded.)

·        Utkin L.V., Coolen F.P.A. (2011): Imprecise Reliability. International Encyclopedia of Statistical Science, Springer Berlin Heidelberg, pp. 649-650.

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

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

·        Utkin L.V. (2010): Regression analysis using the imprecise Bayesian normal model. International Journal of Data Analysis Techniques and Strategies, Vol. 2, pp. 356-372. DOI: 10.1504/IJDATS.2010.037477

·        Utkin L.V., Zatenko S.I. and Coolen F.P.A. (2009): Combining imprecise Bayesian and maximum likelihood estimation for reliability growth models. In: Th. Augustin, F.P.A. Coolen, S. Moral and M.C.M. Troffaes: Proc. of the Sixth Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'09. pp. 421-430 SIPTA. Durham, United Kingdom.

·        Utkin L.V. (2009): Multi-criteria decision making with a special type of information about importance of groups of criteria. In: Th. Augustin, F.P.A. Coolen, S. Moral and M.C.M. Troffaes: Proc. of the Sixth Int. Symposium on Imprecise Probabilities: Theories and Applications, ISIPTA'09. pp. 411-420 SIPTA. Durham, United Kingdom.

·        Utkin L.V. (2009): A new ranking procedure by incomplete pairwise comparisons using preference subsets. Intelligent Data Analysis 13(2) pp. 229-241. A version similar to the published paper can be downloaded.)

·       Utkin L.V. and Destercke S. (2009): Computing expectations with continuous p-boxes: Univariate case, International Journal of Approximate Reasoning. 50(5) 778-798. (A version similar to the published paper can be downloaded.)

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

·        Utkin L.V. (2007): Risk analysis under partial prior information and non-monotone utility functions, International Journal of Information Technology and Decision Making. 6(4) 625-647. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. and Augustin Th. (2007): Decision making under incomplete data using the imprecise Dirichlet model, International Journal of Approximate Reasoning. 44(3), 322-338. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2007): Second-order uncertainty calculations by using the imprecise Dirichlet model, Intelligent Data Analysis. 11(3), 225 – 244. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2006): Ranking procedures by pairwise comparison using random sets and the imprecise Dirichlet model, Applied Mathematics and Computation. 183(1), 394-408. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2006): Cautious analysis of project risks by interval-valued initial data, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 14(6). (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (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. 13(5), 433-453. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2006): A method for processing the unreliable expert judgments about parameters of probability distributions, European Journal of Operational Research. 175(1), 385-398. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2005): Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model, Fuzzy sets and Systems. 154(3), 413-431. (A version similar to the paper can be downloaded.)

·        Utkin L.V. and Augustin Th. (2005) Decision making under incomplete data using the imprecise Dirichlet model, Proc. of the 4th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05, July, 2005,Pittsburg, USA.

·        Utkin L.V. and Augustin Th. (2005) Powerful algorithms for decision making under partial prior information and general ambiguity attitudes, Proc. of the 4th Int. Symposium on Imprecise Probabilities and Their Applications, ISIPTA'05, July, 2005,Pittsburg, USA.

·        Utkin L.V. (2004): Probabilities of judgments provided by unknown experts by using the imprecise Dirichlet model, Risk, Decision and Policy. 9(4), 391-400. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2004): Reliability models of m-out-of-n systems under incomplete information, Computers & Operations Research. 31(10), 1565-1767. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2004): A new efficient algorithm for computing the imprecise reliability of monotone systems, Reliability Engineering and System Safety. 86(3), 179-190. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (2004): Interval reliability of typical systems with partially known probabilities, European Journal of Operational Research. 153(3), 790-802. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. (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). 84(10-11), 688-699. (A version similar to the published paper can be downloaded.)

·        Kozine, I.O. and Utkin L.V. (2003): Variety of judgements admitted in imprecise statistical reasoning, Risk, Decision and Policy. 8, 111-120. (A version similar to the published paper can be downloaded.)

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

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

·        Utkin L.V. (2003): Imprecise reliability of cold standby systems, International Journal of Quality and Reliability Management. 20(6), 722-739. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. and Augustin Th. (2003): Decision making with imprecise second-order probabilities. The 3-rd International Symposium on Imprecise Probabilities and Their Applications, July, Lugano, Switzerland, Carleton Scientific, pp. 545-559.

·        Utkin L.V. (2003): A second-order uncertainty model of independent random variables: An example of the stress-strength reliability. The 3-rd International Symposium on Imprecise Probabilities and Their Applications, July, Lugano, Switzerland, Carleton Scientific, pp. 530-544.

·        Utkin L.V. and Kozine I.O. (2002): Stress-strength reliability models under incomplete information, International Journal of General Systems.31(6), 549-568. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. and Gurov S.V. (2002): Imprecise reliability for some new lifetime distribution classes, Int. Journal of Statistical Planning and Inference. 105(1),215-232. (A version similar to the published paper can be downloaded.)

·        Utkin L.V. and Gurov S.V. (2001): New reliability models based on imprecise probabilities. Chapter 6. Edited book: Advanced Signal Processing Technology by Soft Computing. World Scientific, 110-139.

·        Utkin L.V. and Shubinsky I.B. (2000): Unconventional Methods of the Information System Reliability Assessment. Saint Petersburg. Lubavich Publ. 173 pp. (in Russian)

·        Utkin V.S. and Utkin L.V.(2000): Reliability Analysis of Structural Units. School-book. 2ndEdition. Vologda. VoGTU, 166 pp.(in Russian)

·        Gurov S.V., Utkin L.V. and Shubinsky I.B. (2000): Timing analysis of a fault-tolerant technique subject to hardware failures. Int. Journal of Reliability, Quality and Safety Engineering, 7(3), 153-165. 

·        Gurov S.V. and Utkin L.V.(1999): Reliability of Systems under Incomplete InformationSaint Petersburg. Lubavich Publ. 160 pp. (in Russian) 

·        Utkin L.V. and Gurov S.V. (1999): Imprecise reliability of general structures. Knowledge and Information Systems. 1, 459-480. (A version similar to the published paper can be downloaded.)

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