Applying the lexicographic maximum solution of min-product fuzzy relational inequalities for finding the optimal pricing with a fixed priority in a supply chain system
Publish place: Iranian Journal of Fuzzy Systems، Vol: 21، Issue: 1
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-21-1_002
تاریخ نمایه سازی: 7 اسفند 1402
Abstract:
Fuzzy relational inequalities composed by the min-product operation are established to model the optimal pricing with fixed priority in a single product supply chain system. The solution algorithm has been proposed for solving such an optimization problem and finding the optimal solution (is called lexicographic maximum solution). In this study, a novel approach is proposed to finding the optimal pricing with fixed priority in a single product supply chain system. This approach is based on new properties of solution set in a min-product fuzzy relational inequality. These new properties allow us directly determine the optimal value of variable without many duplicate checks in the solution procedure. A numerical example is provided to illustrate the procedure.
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Authors
Yan-Kuen Wu
School of International Business, Shaoxing Key Laboratory of Intelligent Monitoring and Prevention of Smart City, Zhejiang Yuexiu University of Foreign Languages.
Ching Weng
Center for Fundamental Science and Research Center for Nonlinear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung ۸۰۷۰۸, Taiwa
Yuan Hsu
Research Center of Finance, Shanghai Business School, Shanghai, China
Wang Xian
School of Digital Commerce, Zhejiang Yuexiu University of Foreign Languages
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