This study provides a systematic examination of the evolution and application of fuzzy multi-criteria decision-making (MCDM) methods in green supply chain management (GSCM) from 2011 to 2024. A dataset of 3,850 publications was initially retrieved, from which 104 relevant articles were selected and analyzed through a combination of bibliometric mapping and qualitative content analysis. The study aims to address the lack of an integrated synthesis that combines trend analysis with critical evaluation of fuzzy MCDM applications in GSCM. The analysis highlights an increasing reliance on fuzzy MCDM techniques—such as Fuzzy AHP, Fuzzy TOPSIS, DEMATEL, and hybrid approaches—for supporting decisions related to supplier selection, sustainability assessment, and risk mitigation. Key findings indicate that while methodological diversity is expanding, empirical validation and real-world impact assessments remain limited. Furthermore, a small number of influential authors and publication clusters dominate the discourse. By identifying methodological gaps and emerging patterns, this study contributes a structured framework for understanding the current state of research and offers clear directions for future studies aiming to enhance the practical effectiveness of fuzzy MCDM in sustainable supply chain design.
Erdebilli et al. (Mon,) studied this question.
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