Ludmila Dymova

发表

The operations on intuitionistic fuzzy values in the framework of Dempster-Shafer theory

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2012, Knowl. Based Syst..

The operations on interval-valued intuitionistic fuzzy values in the framework of Dempster-Shafer theory

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Sevastjanov, 2016, Inf. Sci..

Synthesis of fuzzy logic and Dempster-Shafer Theory for the simulation of the decision-making process in stock trading systems

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2009, Math. Comput. Simul..

Stock screening with use of multiple criteria decision making and optimization

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Sevastjanov, 2009 .

Practical Need for Algebraic (Equality-Type) Solutions of Interval Equations and for Extended-Zero Solutions

Pavel V. Sevastjanov, Vladik Kreinovich, Andrzej Pownuk, 2017, PPAM.

A method for solving systems of linear interval equations applied to the Leontief input-output model of economics

Pavel V. Sevastjanov, Ludmila Dymova, Mariusz Pilarek, 2013, Expert Syst. Appl..

Intuitionistic fuzzy rule-base evidential reasoning with application to the currency trading system on the Forex market

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2022, Appl. Soft Comput..

Expert Systems with Applic ations

Pavel V. Sevastjanov, Ludmila Dymova, A. Tikhonenko, 2013 .

A new approach to the comparison of real, interval and fuzzy-valued intuitionistic fuzzy and Belief-Plausibility numbers

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2023, Int. J. Approx. Reason..

A framework for rule-base evidential reasoning in the interval setting applied to diagnosing type 2 diabetes

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Bartosiewicz, 2012, Expert Syst. Appl..

An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2010, Knowl. Based Syst..

A new approach to the rule-base evidential reasoning: Stock trading expert system application

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Bartosiewicz, 2010, Expert Syst. Appl..

An Interpretation of Intuitionistic Fuzzy Sets in the Framework of the Dempster-Shafer Theory

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2010, ICAISC.

An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2015, Knowl. Based Syst..

Fuzzy Multiobjective Evaluation of Investments with Applications

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2008, Fuzzy Engineering Economics with Applications.

A Fuzzy Multiple Criteria Decision Making Approach with a Complete User Friendly Computer Implementation

Pavel V. Sevastjanov, Ludmila Dymova, Joanna Kulawik, 2021, Entropy.

A Simple View on the Interval and Fuzzy Portfolio Selection Problems

Pavel V. Sevastjanov, Krzysztof Kaczmarek, Ludmila Dymova, 2020, Entropy.

A Two Phase Method for Solving the Distribution Problem in a Fuzzy Setting

Pavel V. Sevastjanov, Krzysztof Kaczmarek, Ludmila Dymova, 2019, Entropy.

The TOPSIS Method in the Interval Type-2 Fuzzy Setting

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2015, PPAM.

A new approach to the rule-base evidential reasoning in the intuitionistic fuzzy setting

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2014, Knowl. Based Syst..

An approach to generalization of fuzzy TOPSIS method

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2013, Inf. Sci..

Fuzzy Simulation and Optimization of Production and Logistic Systems

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2010, Production Engineering and Management under Fuzziness.

On the Fuzzy Internal Rate of Return

Ludmila Dymova, Pavel V. Sewastjanow, Ludmila Dymova, 2008, Fuzzy Engineering Economics with Applications.

Two-criteria method for comparing real-valued and interval-valued intuitionistic fuzzy values

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2013, Knowl. Based Syst..

Generalised operations on hesitant fuzzy values in the framework of Dempster-Shafer theory

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2015, Inf. Sci..

A direct interval extension of TOPSIS method

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2013, Expert Syst. Appl..

A Forex trading expert system based on a new approach to the rule-base evidential reasoning

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2016, Expert Syst. Appl..

A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes

Pavel V. Sevastjanov, Krzysztof Kaczmarek, Ludmila Dymova, 2012, Expert Syst. Appl..

An extension of rule base evidential reasoning in the interval-valued intuitionistic fuzzy setting applied to the type 2 diabetes diagnostic

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2022, Expert Syst. Appl..

The new definitions of intuitionistic and belief-plausibility based local criteria with interval and fuzzy inputs applied to the multiple criteria problem of a raw material supplier selection

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Sevastjanov, 2021, IEEE Access.

Operations on intuitionistic fuzzy values in multiple criteria decision making

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Sevastjanov, 2011 .

A Numerical Solution of Fully Fuzzy Distribution Problem

Ludmila Dymova, Ludmila Dymova, 2020, ICAISC.

A new method for solving interval and fuzzy equations: Linear case

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2009, Inf. Sci..

A New Method for Solving Nonlinear Interval and Fuzzy Equations

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2017, PPAM.

Fuzzy Solution of Interval Nonlinear Equations

Ludmila Dymova, Ludmila Dymova, 2007, PPAM.

Fuzzy Solution of Interval Linear Equations

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2007, PPAM.

A New Approach to the Rule-Base Evidential Reasoning with Application

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2015, ICAISC.

A New Measure of Conflict and Hybrid Combination Rules in the Evidence Theory

Pavel V. Sevastjanov, Ludmila Dymova, Kamil Tkacz, 2014, ICAISC.

Organizing Calculations in Algorithms for Solving Systems of Interval Linear Equations Using the "Interval Extended Zero" Method

Ludmila Dymova, Mariusz Pilarek, Ludmila Dymova, 2011, PPAM.

Solving Systems of Interval Linear Equations with Use of Modified Interval Division Procedure

Roman Wyrzykowski, Ludmila Dymova, Mariusz Pilarek, 2009, PPAM.

A Comparative Study of Two Novel Approaches to the Rule-Base Evidential Reasoning

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2017, ICAISC.

The Definition of Interval-Valued Intuitionistic Fuzzy Sets in the Framework of Dempster-Shafer Theory

Pavel V. Sevastjanov, Ludmila Dymova, Ludmila Dymova, 2013, PPAM.

The Use of Intuitionistic Fuzzy Values in Rule-Base Evidential Reasoning

Pavel V. Sevastjanov, Ludmila Dymova, Kamil Tkacz, 2013, ICAISC.

The Use of Belief Intervals in Operations on Intuitionistic Fuzzy Values

Pavel V. Sevastjanov, Ludmila Dymova, Kamil Tkacz, 2012, ICAISC.

A New Method for Comparing Interval-Valued Intuitionistic Fuzzy Values

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2012, ICAISC.

A New Method for Decision Making in the Intuitionistic Fuzzy Setting

Pavel V. Sevastjanov, Ludmila Dymova, Izabela Róg, 2006, ICAISC.

A NEW APPROACH TO COMPARING INTUITIONISTIC FUZZY VALUES

Pavel V. Sevastjanov, Anna Tikhonenko, Ludmila Dymova, 2011 .

Multiple-Criteria Fuzzy Optimization of the Heat Treatment Processes for Two Steel Rolled Products

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Sevastjanov, 2021, Applied Sciences.

On the Neutrosophic, Pythagorean and Some Other Novel Fuzzy Sets Theories Used in Decision Making: Invitation to Discuss

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Kaczmarek, 2021, Entropy.

A new approach to the bi-criteria multi-period fuzzy portfolio selection

Pavel V. Sevastjanov, Ludmila Dymova, Pavel Sevastjanov, 2021, Knowl. Based Syst..

An Approach to Generalization of the Intuitionistic Fuzzy Topsis Method in the Framework of Evidence Theory

Pavel V. Sevastjanov, Ludmila Dymova, Krzysztof Przybyszewski, 2021, J. Artif. Intell. Soft Comput. Res..