On the equivalence of two optimization methods for fuzzy linear programming problems

作者: Stefan Chanas , Paweł Zieliński

DOI: 10.1016/S0377-2217(99)00011-9

关键词: Mathematical optimizationFuzzy logicMathematicsLinear programmingFuzzy mathematicsFuzzy transportationFuzzy classificationFuzzy numberFuzzy set operationsLinear-fractional programming

摘要: Abstract The paper analyses the linear programming problem with fuzzy coefficients in objective function. set of nondominated (ND) solutions respect to an assumed preference relation, according Orlovsky's concept, is supposed be solution problem. Special attention paid unfuzzy (UND) (the which are degree one). main results sufficient conditions on a relation allowing reduce determining UND that optimal classical These can thus determined by means methods.

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