Measuring the Risk of Supply Chain System Based on Multilevel Fuzzy Comprehensive Evaluation Model

Shaochuan Fu () and Shengping Wang ()
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Shaochuan Fu: Beijing Jiaotong University
Shengping Wang: Beijing Jiaotong University

A chapter in LISS 2013, 2015, pp 99-104 from Springer

Abstract: 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.

Keywords: Supply chain risk measure; Multilevel fuzzy comprehensive evaluation; Information entropy; Weight coefficient (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_14

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DOI: 10.1007/978-3-642-40660-7_14

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