| Нечеткое моделирование и многокритериальная оптимизация производственных систем в условиях неопределенности: технология, экономика, экология СПВ Дилигенский Н.В., Дымова Л.Г. Машиностроение, 2004 | 528 | 2004 |
| A direct interval extension of TOPSIS method L Dymova, P Sevastjanov, A Tikhonenko Expert Systems with Applications 40 (12), 4841-4847, 2013 | 194 | 2013 |
| An interpretation of intuitionistic fuzzy sets in terms of evidence theory: decision making aspect L Dymova, P Sevastjanov Knowledge-Based Systems 23 (8), 772-782, 2010 | 163 | 2010 |
| Numerical methods for interval and fuzzy number comparison based on the probabilistic approach and Dempster–Shafer theory P Sevastianov Information Sciences 177 (21), 4645-4661, 2007 | 155 | 2007 |
| An approach to generalization of fuzzy TOPSIS method L Dymova, P Sevastjanov, A Tikhonenko Information Sciences 238, 149-162, 2013 | 134 | 2013 |
| MCDM in a fuzzy setting: Investment projects assessment application L Dimova, P Sevastianov, D Sevastianov International Journal of Production Economics 100 (1), 10-29, 2006 | 108 | 2006 |
| A new method for solving interval and fuzzy equations: linear case P Sevastjanov, L Dymova Information sciences 179 (7), 925-937, 2009 | 103 | 2009 |
| A Forex trading expert system based on a new approach to the rule-base evidential reasoning L Dymova, P Sevastjanov, K Kaczmarek Expert Systems with Applications 51, 1-13, 2016 | 100 | 2016 |
| An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts L Dymova, P Sevastjanov, A Tikhonenko Knowledge-Based Systems 83, 116-127, 2015 | 93 | 2015 |
| A new approach to the rule-base evidential reasoning: Stock trading expert system application L Dymova, P Sevastianov, P Bartosiewicz Expert Systems with Applications 37 (8), 5564-5576, 2010 | 93 | 2010 |
| Nechetkoe modelirovanie i mnogokriterial'naja optimizacija proizvodstvennyh sistem v uslovijah neopredelennosti: tehnologija, jekonomika, jekologija NV Diligenskij, LG Dymova, PV Sevast'janov Mashinostroenie 1, 336, 2004 | 85 | 2004 |
| Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets P Sevastjanov, P Figat Omega 35 (5), 505-523, 2007 | 79 | 2007 |
| The operations on intuitionistic fuzzy values in the framework of Dempster–Shafer theory L Dymova, P Sevastjanov Knowledge-Based Systems 35, 132-143, 2012 | 77 | 2012 |
| Stock screening with use of multiple criteria decision making and optimization P Sevastjanov, L Dymova Omega 37 (3), 659-671, 2009 | 65 | 2009 |
| A framework for rule-base evidential reasoning in the interval setting applied to diagnosing type 2 diabetes P Sevastianov, L Dymova, P Bartosiewicz Expert Systems with Applications 39 (4), 4190-4200, 2012 | 57 | 2012 |
| A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes L Dymova, P Sevastianov, K Kaczmarek Expert Systems with Applications 39 (8), 7150-7157, 2012 | 56 | 2012 |
| Two-objective method for crisp and fuzzy interval comparison in optimization P Sevastjanov, P Róg Computers & Operations Research 33 (1), 115-131, 2006 | 52 | 2006 |
| Synthesis of fuzzy logic and Dempster–Shafer theory for the simulation of the decision-making process in stock trading systems P Sevastianov, L Dymova Mathematics and Computers in Simulation 80 (3), 506-521, 2009 | 51 | 2009 |
| The operations on interval-valued intuitionistic fuzzy values in the framework of Dempster–Shafer theory L Dymova, P Sevastjanov Information Sciences 360, 256-272, 2016 | 48 | 2016 |
| Многокритериальная идентификация и оптимизация технологических процессов ТНИВ Севастьянов П.В. Навука i тэхнiка, Минск, 1990 | 45 | 1990 |
