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Iranian Journal of Fuzzy Systems، جلد ۲۱، شماره ۱، صفحات ۱۹-۳۱
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عنوان انگلیسی 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
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Fuzzy relational inequalities, min-product operation, lexicographic maximum solution, optimal pricing
نویسندگان مقاله 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 Feng Weng |
Center for Fundamental Science and Research Center for Nonlinear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung 80708, Taiwa

Yuan Teng Hsu |
Research Center of Finance, Shanghai Business School, Shanghai, China

Wang Ming Xian |
School of Digital Commerce, Zhejiang Yuexiu University of Foreign Languages

نشانی اینترنتی https://ijfs.usb.ac.ir/article_8131_a759338d569f67c9e893dc47409c7404.pdf
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