A new approach to solve fully fuzzy linear programming problem

Document Type: Research Paper

Authors

Department of Mathematics, University of Mazandaran, Babolsar, Iran.

Abstract

Today, human decisions are more than ever based on information. But most of this information is not definitive, and in this situation, logical decision making is very difficult based on this uncertainty. Different methods are used to represent this uncertainty, including the fuzzy numbers. The fuzzy linear programming problem is one of the interesting concepts to be addressed in fuzzy optimization. Fully Fuzzy Linear Programming Problems (FFLP) are issues in which all parameters of the coefficients of the variables in the target functions, the coefficients of the variables in the constraints, the right-hand side of the constraints, and the decision variables in them are fuzzy. In this paper, we show that Definition 2.6 which is used by Ezzati et al. [1], failed to compare any arbitrary triangular fuzzy numbers. We demonstrate that their presented method is not well in general, thus the proposed method finds the fuzzy optimal solution of fully fuzzy linear programming problems by Ezzati et al. [1]. Then a new approach is proposed for solving this FFLP problem. An example is also presented to demonstrate the new method.

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References

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Journal of Applied Research on Industrial Engineering

Volume 6, Issue 2
Spring 2019
Pages 139-149

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History

  • Receive Date: 27 March 2019
  • Revise Date: 24 May 2019
  • Accept Date: 27 June 2019

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