Solving a linear programming problem with the convex combination of the max-min and the max-product fuzzy relation equations
Publish place: 11th Iranian Conference on Fuzzy Systems
Publish Year: 1390
Type: Conference paper
Language: English
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Document National Code:
ICFUZZYS11_047
Index date: 26 July 2011
Solving a linear programming problem with the convex combination of the max-min and the max-product fuzzy relation equations abstract
This article is about solving a linear programming problem constraint to fuzzy relation equation. In this paper we present a fuzzy operator constructed by the convex combination of the max-min and the max-product fuzzy relation equations. A.Ghodousian , E.Khoram in 2006 , introduced a same method that was the convex combination of the max-min and max-average fuzzy relation equations. This operator have some characteristics of the two composition that is max-min and max-product. Hence in initial stage , we talk about the structure of these fuzzy regions and then present a method to solve the linear optimization problem with fuzzy equation constraints regarding this operator is presented
Solving a linear programming problem with the convex combination of the max-min and the max-product fuzzy relation equations Keywords:
Solving a linear programming problem with the convex combination of the max-min and the max-product fuzzy relation equations authors
Ali Akbar Sanavi
University of Sistan and Baluchestan
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