Solving a linear programming problem with the convex combination of the max-min and the max-product fuzzy relation equations
عنوان مقاله: Solving a linear programming problem with the convex combination of the max-min and the max-product fuzzy relation equations
شناسه ملی مقاله: ICFUZZYS11_047
منتشر شده در یازدهمین کنفرانس سیستم های فازی ایران در سال 1390
شناسه ملی مقاله: ICFUZZYS11_047
منتشر شده در یازدهمین کنفرانس سیستم های فازی ایران در سال 1390
مشخصات نویسندگان مقاله:
Ali Akbar Sanavi - University of Sistan and Baluchestan
خلاصه مقاله:
Ali Akbar Sanavi - University of Sistan and Baluchestan
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
کلمات کلیدی: Linear objective function optimization; Fuzzy relation equations; Fuzzy relation compositions
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/119133/