Scientific and Academic career
Pavel Sevastjanov received his MS in Physics from Samara State University, Russia, in 1975, PhD (technical sciences) from Samara Technical University, Russia, in 1983.
In the years 1984-1992, he worked in Institute of Physics and Technology of the Academy of Sciences of Belarus ( Mogilev, Belarus) as a researcher.
He received his habilitated doctor degree (post-doctoral degree in technical sciences) from Institute of Mechanic of Ukraine Academy of Sciences, Kharkov, in 1990.
From 1992 to 1999 he worked at Mogilev University of Technology (Belarus) as an associated professor at the Department of "Economic Informatics".
Since October 1999 he worked as a professor at the higher Pedagogical School in Częstochowa (Institute of Mathematics and Computer Science), Poland.
From October 2000 to the present he is employed as a professor at the Technical University of Częstochowa University of Technology at the Department of Computer Sciences (former Institute of theoretical and Applied Computer Science).
In 2003, he obtained the title of Professor of technical sciences with specializations in Computer Science, Control, Computer Technology (according to the classification of the Higher Attestation Commission of the Republic of Belarus).
Since then he works as a full professor at Częstochowa University of Technology.
In the period from 1976 to 1999, when he worked in Russia and later in Belorussia, as an author or co-author, he has published 4 books and more than 200 articles (all in Russian).
But, since 2000 year he works in Chestochova University of Technology (Poland) and publishes his papers mainly in English in the peer reviewed reputed international journals and Springer books. Since 2000 to 2020 he has published more than 60 papers in such editions and about 60 papers (in Polish and English) in the different domestic editions.
Research Interests
The topics of Prof. P. Sevastjanov 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 he 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.
His 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.