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Artificial Intelligence and Decision Making, 2017, Issue 4, Pages 60–68 (Mi iipr266)  

Soft computing

A comparison of different fuzzy arithmetics

A. O. Shevlyakov, M. G. Matveev

Voronezh State University
Abstract: In our previous research, we proposed the algebra of double component numbers. In this paper we compare it with two other approaches to the implementation of fuzzy calculations. The first approach is the Zadeh’s extension principle. The second approach is the single level constraint interval arithmetic. The paper shows the relations between the parameters of the calculation results with these approaches. The results of these approaches are compared in some numerical examples.
Keywords: fuzzy algebraic structure, fuzzy arithmetic.
Funding agency Grant number
Russian Foundation for Basic Research 17-01-00251
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. O. Shevlyakov, M. G. Matveev, “A comparison of different fuzzy arithmetics”, Artificial Intelligence and Decision Making, 2017, no. 4, 60–68
Citation in format AMSBIB
\Bibitem{SheMat17}
\by A.~O.~Shevlyakov, M.~G.~Matveev
\paper A comparison of different fuzzy arithmetics
\jour Artificial Intelligence and Decision Making
\yr 2017
\issue 4
\pages 60--68
\mathnet{http://mi.mathnet.ru/iipr266}
\elib{https://elibrary.ru/item.asp?id=30771444}
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