Volume 10 , Issue 1 , PP: 14-24, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Takaaki Fujita 1 *
Doi: https://doi.org/10.54216/JNFS.100102
Numerous frameworks have been developed to address uncertainty in various domains. Among the most prominent are Fuzzy Sets,26 Rough Sets,15 Intuitionistic Fuzzy Sets,4 Hesitant Fuzzy Sets,23 Neutrosophic Sets,3 as well as other emerging theories that continue to be actively explored. Supply Chain Management (SCM) involves planning, coordinating, and optimizing the flow of goods, information, and finances across the entire supply network.9, 16 In this paper, we introduce rigorous Mathematical Frameworks for Fuzzy Supply Chain Management (FSCM) and Neutrosophic Supply Chain Management (NSCM). We hope that these formulations will foster further advances in both supply chain optimization and the development of Fuzzy Set and Neutrosophic Set-based models.
Fuzzy set , Neutrosophic Set , Supply Chain Management (SCM) , Fuzzy Supply Chain Management (FSCM) , Neutrosophic Supply Chain Management (NSCM)
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