基于CI-TOPSIS模糊多准则群策略的应急物流网络级联失效抗毁性评估研究
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  • 英文篇名:Study on the Evaluation of Emergency Logistics Network Cascading Failure Invulnerability Based on CI-TOPSIS Fuzzy Multi Criteria Group Decision Making Tactics
  • 作者:朱佳翔 ; 蔡建飞 ; 江涛涛 ; 林徐勋
  • 英文作者:Zhu Jiaxiang;Cai Jianfei;Jiang Taotao;Lin Xuxun;Commercial College, Changzhou University;
  • 关键词:应急物流网络 ; 级联失效抗毁性 ; 模糊多准则群策略 ; CI-TOPSIS
  • 英文关键词:emergency logistics network;;cascading failure invulnerability;;fuzzy multi-criteria group strategy;;CI-TOPSIS
  • 中文刊名:ZWGD
  • 英文刊名:Management Review
  • 机构:常州大学商学院;
  • 出版日期:2018-09-30
  • 出版单位:管理评论
  • 年:2018
  • 期:v.30
  • 基金:国家社科基金重点项目(16AGL011);; 国家自然科学基金项目(71662011);; 现代服务业发展与治理研究基地项目
  • 语种:中文;
  • 页:ZWGD201809021
  • 页数:10
  • CN:09
  • ISSN:11-5057/F
  • 分类号:231-240
摘要
针对突发事件下动态网络拓扑结构的评价问题,提出基于CI-TOPSIS模糊多准则群策略的应急物流网络级联失效抗毁性评估方法。首先,界定了突发事件下应急物流网络级联失效抗毁性,以及给出相应评估指标。其次,考虑多准则群策略中评价准则之间的相应依存性,给出基于Choquet积分与区间直觉模糊集的聚类算子。最后,构建基于CI-TOPSIS模糊多准则群策略的应急物流网络级联失效抗毁性评估模型,并以南京应急物流网络评估为实例进行仿真分析,验证了该方法的可行性。仿真分析同时表明,该方法更适用于突发事件下动态网络拓扑结构评估的决策实践,是一种非常有效的科学方法,可应用推广到其他更多决策领域。
        An evaluation method based on CI-TOPSIS fuzzy multi-criteria group strategy is proposed to assess the cascading failure invulnerability of emergency logistics network in order to evaluate the dynamic network topology under emergent events. Firstly, the definitions of emergency logistics network cascading failure invulnerability and its evaluation indexes are given. Secondly, the clustering operator based on Choquet integral and interval-valued intuitionistic fuzzy set is given considering the interdependence of evaluation criteria in multi-criteria group strategy. Finally, the evaluation model to assess the cascading failure invulnerability of emergency logistics network based on CI-TOPSIS fuzzy multi-criteria group strategy is constructed, and the feasibility of this method is verified by the simulation analysis of Nanjing emergency logistics network evaluation. The simulation results show that the proposed method is more suitable for decision-making of dynamic network topology under sudden events. It is a very effective scientific method and can be applied to other decision-making fields.
引文
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