Scientific and Academic career
Ludmila Dymova received her MS in Automatic Control from Samara Technical University, Russia, in 1974, PhD (technical sciences) from Samara Technical University, Russia, in 1986.
In the years 1984-1992, she worked in Institute of Physics and Technology of the Academy of Sciences of Belarus ( Mogilev, Belarus) as a researcher.
She received her habilitated doctor degree (post-doctoral degree in technical sciences) from Samara Technical University, Russia in 2001.
From 1992 to 1999 she worked at Mogilev University of Technology (Belarus) as an associated professor at the Department of "Economic Informatics".
From October 2000 to the present she is employed as a professor at the Technical University of Częstochowa University of Technology (Poland) at the Department of Computer Sciences (former Institute of theoretical and Applied Computer Science).
In 2012, she obtained the title of Professor of technical sciences with specializations in Computer Science (Poland).
Since then she works as a full professor at Częstochsowa University of Technology (Poland).
In the period from 1975 to 1999, when she worked in Russia and later in Belorussia, as an author or co-author, she has published more than 80 papers (all in Russian).
But, since 2000 years she works in Czestochova University of Technology (Poland) and publishes her papers mainly in English in the peer reviewed reputed international journals and Springer books. Since 2000 to 2020 she has published 59 works (including two books)s in such editions and 55 papers (in Polish and English) in the different domestic editions.
Research Interests
The topics of Prof. PhD Dymova research activities in general may be defined as: "Development of modeling, identification, decision-making and optimization methods under conditions of objective (stochastic) and non-probabilistic (interval, fuzzy, possibilistic, ets.) types of uncertainty in economic, technological and ecological applications." In this framework she contributed in the development of interval and fuzzy mathematics, e.g. by the solution of the of interval and fuzzy values comparison problems using the synthesis of probability theory and Dempster-Shafer Theory (DST); proposing a new method for solving interval and fuzzy equations based on the developed "interval valued zero approach" and using this method for the solution of systems of linear interval equations applied to the Leontief input-output model of economics; developing the aggregation of aggregating modes in Multiple Criteria Decision Making (MCDM) based on the synthesis of Type 2 and Level 2 fuzzy sets; by the synthesis of fuzzy logic and DST for the simulation of the decision-making process in stock trading systems; by proposing a framework for rule-base evidential reasoning in the interval setting applied to diagnosing type 2 diabetes and stock trading expert systems; introducing new operations on intuitionistic fuzzy values and operations on interval-valued intuitionistic fuzzy values in the framework of DST and redefinition of intuitionistic fuzzy sets theory in terms of DST; generalizing the interval, fuzzy and type 2 fuzzy extensions of TOPSIS method intensively used in MCDM; Her recent focus is on the synthesis of fuzzy logic, modern generalizations of fuzzy set theory (e.g., such as intuitionistic or hesitant fuzzy sets theories) and DST with applications of MCDM and optimization for the solution of finance and medical diagnostic problems.