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Solutions and strong solutions of min-product fuzzy relation inequalities with application in supply chain

机译:最小积模糊关系不等式的解和强解及其在供应链中的应用

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Min-product fuzzy relation inequalities are introduced to describe the price requirements in the supply chain system. We first investigate the resolution method and structure of the complete solution set to min-product fuzzy relation inequalities. Motivated by the practical application, we further define concept of strong solution. A strong solution represents a feasible pricing scheduling, enabling all the suppliers and retailers profitable in the trade activity. Relevant results about the strong solution are obtained. Based on such results, a step-by-step algorithm is developed for finding all the strong solutions to a system of min-product fuzzy relation inequalities. Numerical examples are given to illustrate the algorithm. (C) 2019 Published by Elsevier B.V.
机译:引入最小产品模糊关系不等式来描述供应链系统中的价格需求。我们首先研究最小积模糊关系不等式的完整解集的解析方法和结构。出于实际应用的动机,我们进一步定义了强解决方案的概念。强有力的解决方案代表着可行的定价计划,使所有供应商和零售商在贸易活动中均能获利。获得有关强解的相关结果。基于这些结果,开发了一种逐步算法,用于找到最小积模糊关系不等式系统的所有强解。数值例子说明了该算法。 (C)2019由Elsevier B.V.发布

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