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


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Kablan A., Kuzu S., KİRİŞCİ M.

EKOIST-JOURNAL OF ECONOMETRICS AND STATISTICS, cilt.0, sa.42, ss.51-68, 2025 (ESCI, TRDizin) identifier identifier

Özet

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 ofselectinga candidate fora position in green supplier chain management. The results were analysed and compared across various parameters. The performance was then assessed and validated 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.