A multi-stage multi-criterion group decision-making method for emergency management based on alternative chain and trust radius of experts

被引:2
|
作者
Wu, Xianli [1 ]
Liao, Huchang [1 ]
机构
[1] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-criterion group decision-making; Multi-stage decision making; Alternative chain; Trust radius; DEMATEL; Emergency management; FUZZY;
D O I
10.1016/j.ijdrr.2024.104253
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Multi-criterion group decision-making (MCGDM) is common when a group of experts collectively evaluate feasible alternatives regarding a set of criteria. With the increasing complexity of decision-making activities, there may be intricate interrelationships between criteria. In addition, many MCGDM problems have a dynamic characteristic when alternatives are presented to experts sequentially. In such a multi-stage setting, previous experts have influence on later experts. To overcome these challenges in MCGDM, this study first introduces two concepts, namely, trust radius, to model the social influence of experts, and alternative chain, to represent multiple alternatives that can be coordinated at adjacent stages, and then proposes a multi-stage MCGDM method based on the alternative chain and trust radius of experts. In this method, the weights of experts are determined according to the degree that an expert is influenced by others and the degree that an expert has influence on others. The weights of criteria are determined by the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. This study obtains the optimal alternative chain from a 0-1 optimization model based on comprehensive scores of alternatives at each stage and compatible relationships between adjacent stages. The applicability of the proposed method is demonstrated by an illustrative example regarding emergency management of dammed lakes after natural disasters. Comparative analyses show advantages of this method.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] An approach to hesitant fuzzy multi-stage multi-criterion decision making
    Liao, Huchang
    Xu, Zeshui
    Xu, Jiuping
    [J]. KYBERNETES, 2014, 43 (9-10) : 1447 - 1468
  • [2] A multi-stage conflict style large group emergency decision-making method
    Cai, Chen-guang
    Xu, Xuan-hua
    Wang, Pei
    Chen, Xiao-hong
    [J]. SOFT COMPUTING, 2017, 21 (19) : 5765 - 5778
  • [3] A multi-stage conflict style large group emergency decision-making method
    Chen-guang Cai
    Xuan-hua Xu
    Pei Wang
    Xiao-hong Chen
    [J]. Soft Computing, 2017, 21 : 5765 - 5778
  • [4] MANAGEMENT DECISION-MAKING: MULTI-CRITERION ASSESSMENT OF UNCERTAINTY
    Bai, Serhii
    Fedulova, Iryna
    Drozdova, Yuliia
    [J]. FINANCIAL AND CREDIT ACTIVITY-PROBLEMS OF THEORY AND PRACTICE, 2023, 4 (51): : 190 - 201
  • [5] SEQUENTIAL MULTI-CRITERION DECISION-MAKING
    KORNBLUTH, JSH
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 1985, 13 (06): : 569 - 574
  • [6] Predictive Control-Based DSTATCOM with a Multi-Criterion Decision-Making Method
    Srikakolapu J.
    Arya S.R.
    Maurya R.
    Sharma S.
    [J]. Journal of The Institution of Engineers (India): Series B, 2022, 103 (6) : 2097 - 2110
  • [7] A Markov chain approximation to multi-stage interactive group decision-making method based on interval fuzzy number
    Zhou, Shenghai
    Yang, Jingcheng
    Ding, Yishan
    Xu, Xuanhua
    [J]. SOFT COMPUTING, 2017, 21 (10) : 2701 - 2708
  • [8] A Markov chain approximation to multi-stage interactive group decision-making method based on interval fuzzy number
    Shenghai Zhou
    Jingcheng Yang
    Yishan Ding
    Xuanhua Xu
    [J]. Soft Computing, 2017, 21 : 2701 - 2708
  • [9] Research on Multi-criterion Group Decision Making Cases Based Reasoning
    Yu, Xinqiao
    Chen, Wenfei
    Meng, Bo
    [J]. 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL IV, PROCEEDINGS, 2009, : 232 - +
  • [10] A New Flexible Method for Solving Multi-Expert Multi-Criterion Decision-Making Problems
    Wen, Ta-Chun
    Lai, Hsin-Hung
    Chang, Kuei-Hu
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (13):