<p>A Reconsideration of the Mathematical Frameworks for Fuzzy and</p>
<p>Neutrosophic Supply Chain Management (FSCM and NSCM)</p>
<p>Takaaki Fujita 1,&lowast;</p>
<p>1Independent Researcher, Shinjuku, Shinjuku-ku, Tokyo, Japan</p>
<p>Email: takaaki.fujita060@gmail.com</p>
<p>Abstract</p>
<p>Numerous frameworks have been developed to address uncertainty in various domains. Among the most</p>
<p>prominent are Fuzzy Sets,26 Rough Sets,15 Intuitionistic Fuzzy Sets,4 Hesitant Fuzzy Sets,23 Neutrosophic</p>
<p>Sets,3 as well as other emerging theories that continue to be actively explored. Supply Chain Management</p>
<p>(SCM) involves planning, coordinating, and optimizing the flow of goods, information, and finances across</p>
<p>the entire supply network.9, 16 In this paper, we introduce rigorous Mathematical Frameworks for Fuzzy Sup-</p>
<p>ply Chain Management (FSCM) and Neutrosophic Supply Chain Management (NSCM). We hope that these</p>
<p>formulations will foster further advances in both supply chain optimization and the development of Fuzzy Set</p>
<p>and Neutrosophic Set-based models.</p>
<p>Keywords: Fuzzy set; Neutrosophic Set; Supply Chain Management (SCM); Fuzzy Supply Chain Manage-</p>
<p>ment (FSCM); Neutrosophic Supply Chain Management (NSCM)</p>