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首页> 外文会议>Proceedings of 2010 international conference on management science and engineering. >Research on Sequencing of Risk Factors in Virtual Logistics Alliance Based on Triangular Fuzzy Number Analytic Hierarchy Process
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Research on Sequencing of Risk Factors in Virtual Logistics Alliance Based on Triangular Fuzzy Number Analytic Hierarchy Process

机译：基于三角模糊数层次分析法的虚拟物流联盟风险因子排序研究

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摘要

Quantitatively analyzing operational risk factors of Virtual Logistics Alliance (VLA) is a prerequisite to developing economy and effective risk management measures on it. In this paper, firstly, a set of operational risk assessment index system on VLA is established based on related documents. Secondly, the sequencing model on risk factors of VLA is constructed based on fuzzy set theory and AHP, which uses triangular fuzzy number to characterize judgment information of each expert, and gathers the views of many experts to form the comprehensive Fuzzy Complementary Judgment Matrix, and uses a kind of sequencing method based on possibility degree to sequence the importance of risk factors of VLA; Finally, a numerical example is given to illustrate the use of relevant model.
机译：定量分析虚拟物流联盟（VLA）的运营风险因素是发展经济和采取有效的风险管理措施的前提。本文首先根据相关文献建立了一套基于VLA的业务风险评估指标体系。其次，基于模糊集理论和层次分析法，建立了VLA危险因素排序模型，利用三角模糊数来刻画每个专家的判断信息，并收集了很多专家的意见，形成了综合的模糊互补判断矩阵。使用一种基于可能性程度的排序方法对VLA危险因素的重要性进行排序。最后，给出一个数值例子来说明相关模型的使用。

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