Pythagorean fuzzy goal programming: a novel approach and its application
Sayan Chandra Deb and
Sahidul Islam
International Journal of Operational Research, 2024, vol. 50, issue 4, 477-489
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.
Keywords: Pythagorean fuzzy goal programming; goal programming; Pythagorean fuzzy sets; supplier selection model. (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:50:y:2024:i:4:p:477-489
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