A Hybrid Decision-Making Method based on Interval-Valued Fermatean Fuzzy Sets and a Green Supplier Chain Management Application

Year 2025, Issue: 42, 51 - 68, 25.06.2025

Ali Kablan , Serdar Kuzu , Murat Kirisci

https://doi.org/10.26650/ekoist.2025.42.1565596

Abstract

There is a growing need to integrate environmentally sound choices into supply-chain management research and practice. Choosing the most sustainable suppliers in the context of green supply chain management is a decision making problem that frequently entails uncertainty and differing viewpoints among decision-makers. Regulatory bodies that describe regulations to meet societal and ecological concerns and facilitate the growth of business and economy also need to be made aware of their absence. This study presents an integrated multi-criteria decision making method based on an interval-valued Fermatean fuzzy set. The integrated multi-criteria decision-making methods include the SWARA and WASPAS techniques based on an interval-valued Fermatean fuzzy set. The new method has been applied to the problem of selecting a candidate for a position in green supplier chain management. The results were analysed and compared across various parameters. The performance was then assessed and vali dated using a sensitivity analysis. The method proposed in this study was compared with previously known methods, and the new method's advantages were demonstrated. In addition, the study’s findings and their consequences for lawmakers, businesspeople, technologists, and practitioners are examined. In the future, these stakeholders can concentrate on these deficiencies and provide long-term remedies.

Keywords

Decision Making, Green Supplier Chain, Interval-valued Fermatean Fuzzy Set, SWARA, WASPAS

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