Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2021, Issue 2, Pages 35–43
DOI: https://doi.org/10.14357/20718594210204
(Mi iipr99)
 

Decision analysis

Influence of defuzzification methods on the results of comparing fuzzy alternatives

G. I. Chepelev

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Abstract: New results have been obtained on the comparison of pairs of fuzzy polyinterval alternatives for different localization by the method of collective risk estimation. Analytical relationships were established for indicators of preference and risk using defuzzification by the gravity center method. The results are compared with the corresponding results for the simplest defuzzification procedure by averaging the contributions of monointervals that form polyinterval objects. The similarities and differences of the results for both defuzzification procedures are studied as well as the reasons for the differences arised.
Keywords: pairwise comparison, fuzzy polyinterval alternatives, collective risk estimation, defuzzification, chances of preference and risk.
Funding agency Grant number
Russian Foundation for Basic Research 19-29-01047
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: G. I. Chepelev, “Influence of defuzzification methods on the results of comparing fuzzy alternatives”, Artificial Intelligence and Decision Making, 2021, no. 2, 35–43
Citation in format AMSBIB
\Bibitem{Che21}
\by G.~I.~Chepelev
\paper Influence of defuzzification methods on the results of comparing fuzzy alternatives
\jour Artificial Intelligence and Decision Making
\yr 2021
\issue 2
\pages 35--43
\mathnet{http://mi.mathnet.ru/iipr99}
\crossref{https://doi.org/10.14357/20718594210204}
\elib{https://elibrary.ru/item.asp?id=46326256}
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