Article Info
Authors: John Smith, Maria Johnson
Journal: Expert Systems with Applications
Year: 2025
DOI: 10.xxxx/example
Citations: 27
Article Summary
This study investigates the key factors affecting supply chain risk and examines the causal relationships among them using Fuzzy DEMATEL. The researchers collect expert judgments and apply fuzzy numbers to address uncertainty in the evaluation process. The results identify several influential factors that play a significant causal role in the supply chain risk structure, providing useful insights for managers when prioritizing risk mitigation strategies.
Keywords
fuzzy topsis, supplier selection, green supply, chain sustainability, criteriamcdm
Key Findings
- Fuzzy DEMATEL identified the most influential factors in the studied problem.
- Several factors were classified as cause factors, while others were identified as effect factors.
- The results revealed significant causal relationships among the evaluated factors.
- The findings can help decision-makers prioritize the factors that require greater attention.
- Fuzzy DEMATEL was effective in handling uncertainty in expert judgments
Why this paper matters
Useful for researchers benchmarking fuzzy TOPSIS against other fuzzy MCDM methods, and for practitioners building sustainability criteria into procurement decisions.
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Cite this paper
Rahimi, M., Okonkwo, S., & Fernandez, L. (2023). A fuzzy TOPSIS approach for supplier selection in green supply chains. Journal of Cleaner Production.
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