Study on the Evaluation of Emergency Logistics Network Cascading Failure Invulnerability Based on CI-TOPSIS Fuzzy Multi Criteria Group Decision Making Tactics

Abstract

Abstract:

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 anal-ysis of Nanjing emergency logistics network evaluation. The simulation results show that the proposed method is more suitable for deci-sion-making of dynamic network topology under sudden events. It is a very effective scientific method and can be applied to other deci-sion-making fields.

Key words: emergency logistics network, cascading failure invulnerability, fuzzy multi-criteria group strategy, CI-TOPSIS

Zhu Jiaxiang, Cai Jianfei, Jiang Taotao, Lin Xuxun. Study on the Evaluation of Emergency Logistics Network Cascading Failure Invulnerability Based on CI-TOPSIS Fuzzy Multi Criteria Group Decision Making Tactics[J]. , 2018, 30(9): 229-238.

References

[1] Nagyrney A., Dong J., Zhang D. A Supply Chain Network Equilibrium Model[J]. Transportation Research Part E:Logistics and Transportation Review, 2002,38(5):281-303
[2] Yamada T., Imai K., Nakamyra T. A Supply Chain Transport Super Net Work Equilibrium Model with the Behavior of Freight Car-riers[J]. Transportation Research Part E:Logistics and Transportation Review, 2011,47(6):887-907
[3] Liu Z. A Supply Chain Networks with Global Outsourcing and Quick-response Production under Demand and Cost Uncertainly[J]. Annals of Operations Research, 2013,208(1):251-289
[4] Farahani R. Z., Rezapour S., Drezner T., et al. Competitive Supply Chain Network Design:An Overview of Classifications, Mod-els, Solution Techniques and Applications[J]. Omega, 2014,45(2):92-118
[5] 李勇,谭跃进,吴俊. 基于任务时间约束的物流保障网络级联失效抗毁性建模与分析[J]. 系统工程, 2009,27(5):7-12
[6] 种鹏云,帅斌,陈钢铁. 恐怖袭击下危险品运输网络级联失效抗毁性建模与仿真[J]. 计算机应用研究, 2013,30(1):107-110
[7] 谢丰程,苏琦,陈冬青,等. 基于级联失效的复杂网络抗毁性[J]. 清华大学学报(自然科学版), 2011,51(10):1251-1257
[8] Hwang C. L., Yoon K. Multiple Attributes Decision Making Methods and Applications[M]. Berlin:Springer Press, 1981
[9] Zadeh L. A Fuzzy Sets[J]. Control, 1965,22(8):338-356
[10] 林宏伟,邵培基. 基于混合多属性决策的网络广告投放媒体的评价与应用[J]. 管理评论, 2012,24(12):53-63
[11] 任静. 提高多指标决策客观性的赋权方法[J]. 管理评论, 2012,24(5):160-169
[12] 裴植,鲁建厦,郑力. 广义区间值直觉模糊数及其在工位评估中的应用[J]. 系统工程理论与实践, 2012,32(10):2198-2206
[13] 刘政敏,刘培德,金芳. 基于直觉语言数集成算子的多属性群决策方法研究[J]. 管理评论, 2014,11(26):39-47
[14] Atanassov K., Gargov G. Interval-Valued Intuitionistic Fuzzy Sets[J]. Fuzzy Sets Syst, 1989,31(3):343-349
[15] Liu P. D. Some Generalized Dependent Aggregation Operators with Intuitionistic Linguistic Numbers and Their Application to Group Decision Making[J]. Journal of Computer and System Sciences, 2013,79(1):131-143
[16] Liu P. D., Wang Y. M. Multiple Attribute Group Decision Making Methods Based on Intuitionistic Linguistic Power General-ized Aggregation Operators[J]. Applied Soft Computing, 2014,17(1):90-104
[17] 周文坤,王成付. 供应链融资模式下中小企业信用风险评估研究——基于左右得分的模糊TOPSIS算法[J]. 运筹与管理, 2015,24(1):209-215
[18] 徐洋,于丽英,林晨艳. 基于改进的a截集模糊TOPSIS的高校公共危机预警分级[J]. 上海大学学报(自然科学), 2016,8(12):19-26
[19] Atanassov K. Operators Over Interval-Valued Intuitionistic Fuzzy Sets[J]. Fuzzy Sets Syst, 1994,64(2):159-174
[20] Tan C., Zhang Q. Fuzzy Multiple Attribute Decision Making Based on Interval-Valued Intuitionistic Fuzzy Sets[J]. Man and Cy-bernetics, 2006,10(2):1404-1407
[21] Tan C. A Multi-Criteria Interval-Valued Intuitionistic Fuzzy Group Decision Making with Choquet Integral-Based TOPSIS[J]. Ex-pert Syst. Appl, 2011,38(11):3023-3033
[22] Xu Z. S. Methods for Aggregating Interval-Valued Intuitionistic Fuzzy Information and Their Application to Decision Making[J]. Control and Decision, 2007,22(2):215-219
[23] Wei G. W. Some Geometric Aggregation Functions and Their Application to Dynamic Multiple Attribute Decision Making in the Intuitionistic Fuzzy Setting[J]. International Journal of Uncertainty Fuzziness Sys, 2009,17(2):179-196
[24] 种鹏云,帅斌. 连环恐怖袭击下危险品运输网络级联失效建模[J]. 系统工程理论与实践, 2014,34(4):1059-1065
[25] 狄鹏,胡涛,胡斌,等. 基于复杂网络的作战网络模型抗毁性研究[J]. 系统仿真学报, 2011,23(1):56-59