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Author:Liu, S-T.
Kao, C.
Title:Solving fuzzy transportation problems based on extension principle
Journal:European Journal of Operational Research
2004 : MAR, VOL. 153:3, p. 661-674
Index terms:Fuzzy sets
Nonlinear programming
Transport
Language:eng
Abstract:This paper develops a procedure to derive the fuzzy objective value of the fuzzy transportation problem, in that the cost coefficients and the supply and demand quantities are fuzzy numbers. The idea is based on the extension principle. A pair of mathematical programs is formulated to calculate the lower and upper bounds of the fuzzy total transportation cost at possibility level x. From different values of x, the membership function of the objective value is constructed. Two different types of fuzzy transportation problems are discussed: one with inequality constraints and one with equality constraints. It is found that the membership function of the objective value of the equality problem is contained in that of the inequality problem. Since the objective value is expressed by a mambership function rather than by a crisp value, more information is provided for making decisions.
SCIMA record nr: 254979
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