周谧  (教授)

博士生导师 硕士生导师

出生日期:1983-01-03

电子邮箱:zhoumi@hfut.edu.cn

入职时间:2010-03-01

所在单位:管理学院

学历:博士研究生毕业

办公地点:管理学院新大楼1105室

性别:男

联系方式:zhoumi@hfut.edu.cn

学位:博士学位

在职信息:在职

毕业院校:合肥工业大学

学科:工商管理其他专业
管理科学与工程其他专业

Consensus reaching mechanism with parallel dynamic feedback strategy for large-scale group decision making under social network analysis

点击次数:

DOI码:10.1016/j.cie.2022.108818

发表刊物:Computers & Industrial Engineering(中科院一区,FMS B类)

关键字:Scenario-based social network analysis;Dominance principle;Parallel dynamic feedback;Consensus reaching process

摘要:With the scale of group decision making increasing, it is a crucial issue to get the utmost of collective intelligence for seeking the optimal solution. In this study, we propose an automatic consensus reaching process (CRP) for large-scale group decision making (LSGDM) based on parallel dynamic feedback strategy and two-dimensional scenario-based social network analysis (SNA) model. Firstly, individuals express their preferences by distributed preference relations (DPRs) which could keep the uncertainty of assessment and allow multi-attribute comparison. Secondly, SNA based on trust relationship and connection strength is implemented. Then a twodimensional scenario-based SNA model is established, and a fuzzy clustering algorithm based on connection strength is designed to reduce the scale of decision makers (DMs). Finally, a two-phase CRP with identification rules and feedback strategy is constructed. Identification rules are used for activating different kinds of feedback mechanisms by identifying whether it reaches acceptable local or global consensus. The rules also identify which kind of social relationship for internal or external subgroups and what dominance does individual or subgroup has. Feedback strategy with parallel dynamic adjustment process is further designed based on opinion and trust adjustment factors and non-cooperative behaviors. A real illustrative case for selecting the optimal carbon footprint management provider is presented to demonstrate the validity of our proposed method, and further compare it with other current methods.

合写作者:Mi Zhou(通讯作者),Xin-Bao Liu,Ba-Yi Cheng,Enrique Herrera-Viedma

第一作者:Ya-Jing Zhou

论文类型:期刊论文

论文编号:108818

学科门类:管理学

文献类型:J

卷号:174

页面范围:108818

是否译文:

发表时间:2022-12-10

收录刊物:SCI

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