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A new approach for solving fully fuzzy linear programming problem

Author

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  • Sapan Kumar Das
  • T. Mandal
  • Diptiranjan Behera

Abstract

This paper presents the limitations of citeku for solving a fully fuzzy linear programming (FFLP) problem. And accordingly to overcome these limitations a new method has been proposed by using the ranking function. We have considered a FFLP problem with mixed constraints where decision variables are represented by non-negative fuzzy numbers. Triangular convex normalised fuzzy sets are considered for the analysis. To illustrate the applicability and efficiency of the proposed method various numerical examples have been solved and obtained results are discussed.

Suggested Citation

  • Sapan Kumar Das & T. Mandal & Diptiranjan Behera, 2019. "A new approach for solving fully fuzzy linear programming problem," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 15(3), pages 296-309.
    • Handle: RePEc:ids:ijmore:v:15:y:2019:i:3:p:296-309
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    Cited by:

    1. Gaurav Sharma & Sapan Kumar Das & Ganesh Kumar, 2023. "Solving zero-sum two-person game with triangular fuzzy number payoffs using new fully fuzzy linear programming models," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1456-1487, September.

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