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Iranian Journal of Fuzzy Systems، جلد ۲۱، شماره ۱، صفحات ۱۹-۳۱
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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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 |
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| 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. |
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| کلیدواژه‌های انگلیسی مقاله |
Fuzzy relational inequalities,
min-product operation,
lexicographic maximum solution,
optimal pricing |
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| 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
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| نشانی اینترنتی |
https://ijfs.usb.ac.ir/article_8131_a759338d569f67c9e893dc47409c7404.pdf |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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