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A necessity measure optimization approach to linear programming problems with oblique fuzzy vectors
Kybernetika, Tome 42 (2006) no. 4, pp. 441-452 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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In this paper, a necessity measure optimization model of linear programming problems with fuzzy oblique vectors is discussed. It is shown that the problems are reduced to linear fractional programming problems. Utilizing a special structure of the reduced problem, we propose a solution algorithm based on Bender’s decomposition. A numerical example is given.
In this paper, a necessity measure optimization model of linear programming problems with fuzzy oblique vectors is discussed. It is shown that the problems are reduced to linear fractional programming problems. Utilizing a special structure of the reduced problem, we propose a solution algorithm based on Bender’s decomposition. A numerical example is given.
Classification : 49M27, 90C05, 90C70
Keywords: fuzzy linear programming; oblique fuzzy vector; necessity measure; Bender’s decomposition 
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Inuiguchi, Masahiro. A necessity measure optimization approach to linear programming problems with oblique fuzzy vectors. Kybernetika, Tome 42 (2006) no. 4, pp. 441-452. http://geodesic.mathdoc.fr/item/KYB_2006_42_4_a3/

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