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

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Abstract

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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Acknowledgements

This work was supported by the National Natural Science Foundation of China (NSFC) (No. 71971135, 71971039 and 71910107002), Top-notch innovative program of Shanghai Maritime University (No. 2021YBR006), China Scholarship Council (No.202108310183)Shanghai Foreign Experts Program(22WZ2506100), project PID2019-103880RB-I00 funded by MCIN / AEI / 10.13039/501100011033 and by the Andalusian Government through the project P2000673.

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Authors and Affiliations

  1. School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China

    Tiantian Gai, Mingshuo Cao & Jian Wu

  2. Institute of Artificial Intelligence, Faculty of Computing, Engineering and Media, De Montfort University, Leicester, UK

    Francisco Chiclana

  3. Andalusian Research Institute in Data Science and Computational Intelligence, Department of Computer Science and AI, University of Granada, 18071, Granada, Spain

    Francisco Chiclana & Enrique Herrera-Viedma

  4. School of Economics and Management, Dalian University of Technology, Dalian, 116024, People’s Republic of China

    Zhen Zhang

  5. Center for Network Big Data and Decision-Making, Business School, Sichuan University, Chengdu, 610065, People’s Republic of China

    Yucheng Dong

  6. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, 21589, Saudi Arabia

    Enrique Herrera-Viedma

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  1. Tiantian Gai
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  2. Mingshuo Cao
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  3. Francisco Chiclana
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  4. Zhen Zhang
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  5. Yucheng Dong
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  6. Enrique Herrera-Viedma
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  7. Jian Wu
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Correspondence to Jian Wu.

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Gai, T., Cao, M., Chiclana, F. et al. Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Making. Group Decis Negot 32, 45–74 (2023). https://doi.org/10.1007/s10726-022-09798-7

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