Нечеткое моделирование и многокритериальная оптимизация производственных систем в условиях неопределенности: технология, экономика, экология СПВ Дилигенский Н.В., Дымова Л.Г. Машиностроение, 2004 | 531 | 2004 |
A direct interval extension of TOPSIS method L Dymova, P Sevastjanov, A Tikhonenko Expert Systems with Applications 40 (12), 4841-4847, 2013 | 195 | 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 | 161 | 2010 |
An approach to generalization of fuzzy TOPSIS method L Dymova, P Sevastjanov, A Tikhonenko Information Sciences 238, 149-162, 2013 | 134 | 2013 |
Soft computing in economics and finance L Dymowa Springer, 2011 | 110 | 2011 |
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 | 102 | 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 | 91 | 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 | 90 | 2010 |
Nechetkoe modelirovanie i mnogokriterial’naya optimizatsiya proizvodstvennykh sistem v usloviyakh neopredelennosti: tekhnologiya, ekonomika, ekologiya [Fuzzy modelling and … NV Diligenskii, LG Dymova, PV Sevast’yanov Moscow, Mashinostroenie-1 Publ, 2004 | 78 | 2004 |
The operations on intuitionistic fuzzy values in the framework of Dempster–Shafer theory L Dymova, P Sevastjanov Knowledge-Based Systems 35, 132-143, 2012 | 75 | 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 | 54 | 2012 |
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 |
Generalised operations on hesitant fuzzy values in the framework of Dempster–Shafer theory P Sevastjanov, L Dymova Information Sciences 311, 39-58, 2015 | 41 | 2015 |
Fuzzy modeling and multicriteria optimization of production systems under uncertainty: technology, economics, ecology NV Diligensky, LG Dymova, PV Sevastyanov Mashinostroenie, Moscow, 2004 | 37 | 2004 |
Two-criteria method for comparing real-valued and interval-valued intuitionistic fuzzy values L Dymova, P Sevastjanov, A Tikhonenko Knowledge-Based Systems 45, 166-173, 2013 | 34 | 2013 |