On modeling a lexicographic weighted maxmin–minmax approach for fuzzy linear goal programming

: pp. 186–194
Received: September 20, 2022
Revised: December 01, 2020
Accepted: December 06, 2022
Department of Business Administration, The British University in Egypt

In this paper, a novel approach for solving fuzzy goal programming is proposed.  This approach utilizes the weighted maxmin and weighted minmax methods simultaneously.  Relative weight is assigned to each fuzzy goal according to the preference of the decision maker.  A model for each of the two methods is separately stated; hence the two models are merged into one.  Moreover, the lexicographic maximization technique is applied to guarantee efficient solutions.  Therefore, the proposed approach allows the decision maker to compromise between the two methods.  Furthermore, the proposed approach can be implemented to concave piecewise linear membership functions.  This type of membership function is represented using the min-operator.  The effectiveness of the proposed approach is illustrated by a numerical example.

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Mathematical Modeling and Computing, Vol. 10, No. 1, pp. 186–194 (2023)

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