A computational comparison between two evaluation criteria in fuzzy multiobjective linear programs using possibility programming

Authors:
Maged George Iskander
Affiliations:
Department of Mathematics, The American University in Cairo, P.O. Box 2511, Cairo, Egypt
Venue:
Computers & Mathematics with Applications
Year:
2008

Citing 3
Cited 1

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A possibility programming approach for stochastic fuzzy multiobjective linear fractional programs

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Using different dominance criteria in stochastic fuzzy linear multiobjective programming: A case of fuzzy weighted objective function

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Abstract

In this paper, a fuzzy multiobjective linear programming model is presented. Both the objective functions and the constraints are considered fuzzy. The coefficients of the decision variables in the objective functions and in the constraints, as well as the right-hand side of the constraints are assumed to be fuzzy numbers with either trapezoidal or triangular membership functions. The possibility programming approach is utilized to transform the fuzzy model to its crisp equivalent. A comparison between the global criterion method and the distance functions method, as two evaluation criteria, is illustrated by a computational study.