Fermatean fuzzy framework based on preference selection index and combined compromise solution methods for green supplier selection in textile industry

Pamucar D., ULUTAŞ A., Topal A., KARAMAŞA Ç., Ecer F.

International Journal of Systems Science: Operations and Logistics, vol.11, no.1, 2024 (SCI-Expanded) identifier


This work aims to enhance the efficiency and dependability of the green supplier selection process by developing a decision support tool. Thereby, a novel fuzzy group multi-criteria decision-making approach based on the Preference Selection Index (PSI) and Combined Compromise Solution (CoCoSo) methods under the Fermatean Fuzzy (FF) environment for green supplier selection is proposed. The primary novelties and contributions are: (i) for the first time, the FF-PSI model is developed to extract the priority weight values of criteria, (ii) an improved FF-CoCoSo methodology is proposed, and (ii) the FF-PSI-CoCoSo framework is offered for resolving challenging real-life problems. To present the framework’s practicality, a real-case study evaluating six suppliers concerning nine drives under economics, environmental, and technological aspects in a textile company in Turkey is conducted. The results indicate that “green warehousing” is the most essential driver for green suppliers, followed by “recycling” and “damaged product ratio.” A detailed sensitivity and comparison check is further conducted to display the solidity and effectiveness of the proposed framework. The suggested framework offers a reliable solution for green supplier selection and a precise sustainable rating of suppliers. Moreover, it can be addressed to solve various challenging real-world problems.