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Pythagorean fuzzy goal programming: a novel approach and its application

Author

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  • Sayan Chandra Deb
  • Sahidul Islam

Abstract

The present study discusses a novel goal programming technique for solving multi-objective problems. The technique is named Pythagorean fuzzy goal programming. The improved score function of the Pythagorean fuzzy sets has been used to develop the technique. Goal programming (GP) techniques have been proven to be very useful in the field of operations research. GP techniques are used to find the best compromise solutions for a multi-objective programming problem. An example of a supplier selection model is provided where the traditional intuitionistic fuzzy GP technique fails to optimise but the proposed technique provides an optimal solution. This technique is useful for the systems where the other GP techniques fail to provide any results.

Suggested Citation

  • Sayan Chandra Deb & Sahidul Islam, 2024. "Pythagorean fuzzy goal programming: a novel approach and its application," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 50(4), pages 477-489.
    • Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:477-489
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