Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Making

被引：0
作者：
Tiantian Gai
Mingshuo Cao
Francisco Chiclana
Zhen Zhang
Yucheng Dong
Enrique Herrera-Viedma
Jian Wu
机构：
[1] Shanghai Maritime University,School of Economics and Management
[2] De Montfort University,Institute of Artificial Intelligence, Faculty of Computing, Engineering and Media
[3] University of Granada,Andalusian Research Institute in Data Science and Computational Intelligence, Department of Computer Science and AI
[4] Dalian University of Technology,School of Economics and Management
[5] Sichuan University,Center for Network Big Data and Decision
[6] King Abdulaziz University,Making, Business School
来源：
Group Decision and Negotiation | 2023年 / 32卷
关键词：
Social network large-group decision making; Consensus; Feedback mechanism; Bidirectional interaction; Trust;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a consensus-trust driven framework of bidirectional interaction for social network large-group decision making. Firstly, the concepts of interaction consensus threshold and interaction trust threshold are defined, which are used to discriminate the interaction modes between subgroups into four categories. Corresponding hybrid feedback strategies are designed in which the consensus level and trust level of subgroups are regarded as reliable resources to facilitate the achievement of group consensus. Secondly, a minimum adjustment bidirectional feedback model considering cohesion is developed to help the interacting subgroups reach mutual consensus with minimum opinion modification. Finally, the proposed consensus framework is applied to a blockchain platform selection problem in supply chain to demonstrate the effectiveness and applicability of the model.
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页码：45 / 74
页数：29
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