Large group decision-making method based on hesitation and consistency under social network context

被引：0
|
作者：
Chen X. [1 ,2 ]
Zhang W. [1 ]
Xu X. [1 ]
机构：
[1] School of Business, Central South University, Changsha
[2] Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2020年 / 40卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Consistency; Ecological security decision making; Hesitation; Large group; Social network;
D O I：
10.12011/1000-6788-2018-1559-15
中图分类号：
学科分类号：
摘要：
For large group decision-making problems with intuitionistic fuzzy numbers under social network context, a new decision-making method is proposed. According to the social network relationship of decision makers, the decision makers are classified into several partitions by means of the Louvain method for community detection, and the degree centrality and close centrality of the nodes are used to determine the decision makers' weights and partitions' weights based on the social network structure. Furthermore, a new intuitionistic fuzzy number distance measurement is proposed, and the degree of hesitation is introduced to obtain the hesitation level and consistency of the partition, and then the partitions' weights based on hesitation and consistency is determined. On this basis, the effective integration the partitions' weights based on the social network structure and the partitions' weight based on hesitation and consistency to determine the comprehensive partitions weight, and then sort the alternatives. Finally, the effectiveness of the proposed method is verified by ecological security case analysis. The comparative analysis shows the advantages and rationality of the proposed method. © 2020, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
引用
收藏
页码：1178 / 1192
页数：14
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