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Fuzzy goal programming approach to solve fully fuzzy multi-objective quadratic programming problem

Author

Listed:
  • Admasu Tadesse

    (KIIT University)

  • M. M. Acharya

    (KIIT University)

  • Srikumar Acharya

    (KIIT University)

  • Manoranjan Sahoo

    (KIIT University)

Abstract

The focus of this paper is to suggest a solution methodology for a fully fuzzy multi-objective quadratic programming problem. Solving the provided mathematical model using known classical methods is extremely difficult. To solve the present mathematical programming problem, three major approaches are suggested. In first step, we used arithmetic operations between two fuzzy parameters and variables. The importance is given in the next step to handle fuzzy part of objective functions by ranking functions and after the completion of the second step, the fuzzy part of the fuzzy constraints tackled by the inequality property of between two triangular fuzzy numbers. Finally, the transformed multi-objective quadratic mathematical programming problem is solved using a weighted fuzzy goal programming approach. The final solution of the suggested model is derived using existing methodology and softwares. The working procedures of the proposed method is further discussed using numerical example.

Suggested Citation

  • Admasu Tadesse & M. M. Acharya & Srikumar Acharya & Manoranjan Sahoo, 2024. "Fuzzy goal programming approach to solve fully fuzzy multi-objective quadratic programming problem," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(2), pages 705-712, February.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:2:d:10.1007_s13198-022-01733-y
    DOI: 10.1007/s13198-022-01733-y
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    References listed on IDEAS

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