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

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

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 2 (April 2021)
By: Ludmila Dymova,  Krzysztof Kaczmarek,  Pavel Sevastjanov,  Łukasz Sułkowski and  Krzysztof Przybyszewski  
Open Access
|Jan 2021

Authors

Ludmila Dymova

Department of Computer Science, Czestochowa University of Technology, Poland

Krzysztof Kaczmarek

Department of Computer Science, Czestochowa University of Technology, Poland

Pavel Sevastjanov

sevast@icis.pcz.pl

Department of Computer Science, Czestochowa University of Technology, Poland

Łukasz Sułkowski

Faculty of Management and Social Sciences, Jagiellonian University, Cracow, Poland
Management Department, University of Social Sciences, Lodz, Poland

Krzysztof Przybyszewski

Information Technology Institute, University of Social Sciences, Lodz, Poland
Clark University, Worcester, USA
DOI: https://doi.org/10.2478/jaiscr-2021-0010
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Language: English
Page range: 157 - 175
Submitted on: Apr 4, 2020
Accepted on: Dec 22, 2020
Published on: Jan 29, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
TOPSIS,
intuitionistic fuzzy sets,
Dempster-Shafer theory,
aggregating modes
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2021 Ludmila Dymova, Krzysztof Kaczmarek, Pavel Sevastjanov, Łukasz Sułkowski, Krzysztof Przybyszewski, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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