A New Approach for Solving Fully Fuzzy Linear Programming by Using the Lexicography Method

Ali Hosseinzadeh, S. A. Edalatpanah

Advances in Fuzzy Systems · 2016 · 34 citations · 19 references

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Abstract

The fully fuzzy linear programming (FFLP) problem has many different applications in sciences and engineering, and various methods have been proposed for solving this problem. Recently, some scholars presented two new methods to solve FFLP. In this paper, by considering the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>L</mml:mi><mml:mtext>-</mml:mtext><mml:mi>R</mml:mi></mml:math>fuzzy numbers and the lexicography method in conjunction with crisp linear programming, we design a new model for solving FFLP. The proposed scheme presented promising results from the aspects of performance and computing efficiency. Moreover, comparison between the new model and two mentioned methods for the studied problem shows a remarkable agreement and reveals that the new model is more reliable in the point of view of optimality.

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