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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Measuring the Risk of Supply Chain System Based on Multilevel Fuzzy Comprehensive Evaluation Model
verfasst von : Shaochuan Fu, Shengping Wang
Erschienen in: LISS 2013
Verlag: Springer Berlin Heidelberg
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Abstract
According to the fuzzy and uncertain character of the factors of supply chain system risk, this paper establishes the Multilevel Fuzzy Comprehensive Evaluation Model to make a quantitative analysis of supply chain system risk, and determines the weight coefficient of the index system by applying information entropy method. By this method, we not only solve the aporia of using effectively accumulated data to quantify the analysis of supply chain system risk, improve the evaluation methods and standards, but improve the utility value reflected by information entropy to calculate the weight coefficient of index of evaluation, making the determination of index weight more scientific and reasonable.