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• W1972965943 abstract "The operator “min” is one of the most frequently used aggregation operators in fuzzy decision. However, this operator is the softest operator and no allowance is made for any compensation. The “product” and other operators, some of them may be compensatory, are seldom used because of the nonlinearity of the resulting problem. In this paper, an exponential, instead of linear membership function is proposed. The advantages of using exponential membership are two fold. First, the resulting problems can be transformed to linear ones when the “product” and several other nonlinear aggregate operators are used. Secondly, exponential representation is more realistic than the linear ones usually used for some practical applications." @default.
• W1972965943 created "2016-06-24" @default.
• W1972965943 creator A5020666124 @default.
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• W1972965943 date "1991-01-01" @default.
• W1972965943 modified "2023-09-23" @default.
• W1972965943 title "An exponential membership function for fuzzy multiple objective linear programming" @default.
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• W1972965943 doi "https://doi.org/10.1016/0898-1221(91)90147-v" @default.
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