Using complementary slackness property to solve linear programming with fuzzy parameters

The most popular approach to handle the challenge of solving fuzzy linear programming problems is to convert the fuzzy linear programming into the corresponding deterministic linear programming. Mahdavi-Amiri and Nasseri [15,16] developed the fuzzy dual simplex algorithm to fuzzy linear programming...

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Vydané v:	Fuzzy information and engineering Ročník 1; číslo 3; s. 233 - 245
Hlavní autori:	Ebrahimnejad, A., Nasseri, S. H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer-Verlag 01.09.2009 Taylor & Francis Group
Predmet:	Algorithms Computational Intelligence Engineering Linear programming Mathematical programming Original Article Parameters Simplex method Fuzzy linear programming Complementary slackness Duality Trapezoidal fuzzy numbers
ISSN:	1616-8658, 1616-8666
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