A novel goal programming approach based on accuracy function of pythagorean fuzzy sets

Sayan Deb () and Sahidul Islam ()
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Sayan Deb: University of Kalyani
Sahidul Islam: University of Kalyani

OPSEARCH, 2024, vol. 61, issue 1, No 12, 245-262

Abstract: Abstract Goal programming (GP) is a well-established optimization methodology used to solve multi-objective problems. This paper outlines a novel goal programming approach that aims to improve the effectiveness of the traditional intuitionistic goal programming method. The proposed approach incorporates the concept of pythagorean fuzzy logic. Accuracy function of the pythagorean fuzzy sets has been used to develop the novel goal programming approach. Furthermore, a convergence criterion for this method has also been provided. Another theorem has also been proved to show that the traditional IFGP method fails to optimize many problems. The approach is tested on a case study of a supply chain management problem, and the results show that the proposed approach outperforms the traditional intuitionistic goal programming method in terms of effectiveness.

Keywords: Novel goal programming approach; Pyhtagorean fuzzy sets; Accuracy function; Supplier selection model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12597-023-00686-5

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