Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2018, Issue 4, Pages 53–60
DOI: https://doi.org/10.14357/20718594180405
(Mi iipr227)
 

Evolutionary computation and soft computing

Algebra of trapezoidal fuzzy numbers for fuzzy information processing

A. O. Shevlyakov, M. G. Matveev

Voronezh State University, Voronezh, Russia
Abstract: Existing approaches to the implementation of fuzzy calculations have several significant problems that restrain practical applications of the fuzzy sets theory to the solutions of many control and decisionmaking tasks. In our previous research, we proposed the algebra of double component numbers that solves the aforementioned problems for fuzzy triangular numbers. In this paper, we extend the algebra of double component numbers to the trapezoidal fuzzy numbers, explore its properties and compare it with other approaches.
Keywords: fuzzy algebraic structure, fuzzy arithmetic, trapezoidal fuzzy numbers.
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, “Algebra of trapezoidal fuzzy numbers for fuzzy information processing”, Artificial Intelligence and Decision Making, 2018, no. 4, 53–60
Citation in format AMSBIB
\Bibitem{SheMat18}
\by A.~O.~Shevlyakov, M.~G.~Matveev
\paper Algebra of trapezoidal fuzzy numbers for fuzzy information processing
\jour Artificial Intelligence and Decision Making
\yr 2018
\issue 4
\pages 53--60
\mathnet{http://mi.mathnet.ru/iipr227}
\crossref{https://doi.org/10.14357/20718594180405}
\elib{https://elibrary.ru/item.asp?id=36643712}
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