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Approaches for Solving Fully Fuzzy Rough Multi-Objective Nonlinear Programming Problems

Author

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  • E. Ammar

    (Department of Mathematics, Faculty of Science, Tanta University, Egypt)

  • A. Al-Asfar

    (Department of Mathematics, Faculty of Science, Tanta University, Egypt)

Abstract

Practical nonlinear programming problem often encounters uncertainty and indecision due to various factors that cannot be controlled. To overcome these limitations, fully fuzzy rough approaches are applied to such a problem. In this paper, an effective two approaches are proposed to solve fully fuzzy rough multi-objective nonlinear programming problems (FFRMONLP) where all the variables and parameters are fuzzy rough triangular numbers. The first, based on a slice sum technique, a fully fuzzy rough multi-objective nonlinear problem has turned into five equivalent multi-objective nonlinear programming (FFMONLP) problems. The second proposed method for solving FFRMONLP problems is ?-cut approach, where the triangular fuzzy rough variables and parameters of the FFRMONLP problem are converted into rough interval variables and parameters by ?-level cut, moreover the rough MONLP problem turns into four MONLP problems. Furthermore, the weighted sum method is used in both proposed approaches to convert multi-objective nonlinear problems into an equivalent nonlinear programming problem. Finally, the effectiveness of the proposed procedure is demonstrated by numerical examples.

Suggested Citation

  • E. Ammar & A. Al-Asfar, 2021. "Approaches for Solving Fully Fuzzy Rough Multi-Objective Nonlinear Programming Problems," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 7(2), pages 113-128, 04-2021.
    • Handle: RePEc:arp:ajoams:2021:p:113-128
    DOI: 10.32861/ajams.72.113.128
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