Fuzzy evaluation on supply chain competitiveness based on membership degree transformation new algorithm

Xiangyang Ren*, Yanhua Liu and

Abstract

Supply chain is a large complex system. It is composed of multiple related enterprises, the competitiveness of which is determined by various factors. The core of fuzzy evaluation is membership degree transformation. The new algorithm: using data mining technology based on entropy to mine knowledge information about object classification hidden in every index, affirm the relationship of object classification and index membership, eliminate the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership. The paper applied the new algorithm in fuzzy evaluation on supply chain competitiveness

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