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Impact of Decision Rules and Non-cooperative Behaviors on Minimum Consensus Cost in Group Decision Making

Author

Listed:
  • Weijun Xu

    (South China University of Technology)

  • Xin Chen

    (South China University of Technology)

  • Yucheng Dong

    (Business School, Sichuan University)

  • Francisco Chiclana

    (De Montfort University
    University of Granada)

Abstract

In group decision making, it is sensible to achive minimum consensus cost (MCC) because the consensus reaching process resources are often limited. In this endeavour, though, there are still two issues that require paying attention to: (1) the impact of decision rules, including decision weights and aggregation functions, on MCC; and (2) the impact of non-cooperative behaviors on MCC. Hence, this paper analytically reveals the decision rules to minimize MCC or maximize MCC. Furthermore, detailed simulation experiments show the joint impact of non-cooperative behavior and decisions rules on MCC, as well as revealing the effect of the consensus within the established MCC target.

Suggested Citation

  • Weijun Xu & Xin Chen & Yucheng Dong & Francisco Chiclana, 2021. "Impact of Decision Rules and Non-cooperative Behaviors on Minimum Consensus Cost in Group Decision Making," Group Decision and Negotiation, Springer, vol. 30(6), pages 1239-1260, December.
    • Handle: RePEc:spr:grdene:v:30:y:2021:i:6:d:10.1007_s10726-020-09653-7
    DOI: 10.1007/s10726-020-09653-7
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    References listed on IDEAS

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    Cited by:

    1. Tiantian Gai & Mingshuo Cao & Francisco Chiclana & Zhen Zhang & Yucheng Dong & Enrique Herrera-Viedma & Jian Wu, 2023. "Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Making," Group Decision and Negotiation, Springer, vol. 32(1), pages 45-74, February.
    2. Dong Cheng & Yong Wu & Yuxiang Yuan & Faxin Cheng & Dianwei Chen, 2024. "Modeling the Maximum Perceived Utility Consensus Based on Prospect Theory," Group Decision and Negotiation, Springer, vol. 33(5), pages 951-975, October.
    3. Yangjingjing Zhang & Xia Chen & Mengting Gao & Yucheng Dong, 2024. "Maximum Utility Consensus with Inequity Aversion in Social Network Group Decision Making," Group Decision and Negotiation, Springer, vol. 33(5), pages 1115-1142, October.
    4. Ziqi Wu & Kai Zhu & Shaojian Qu, 2022. "Distributionally Robust Optimization Model for a Minimum Cost Consensus with Asymmetric Adjustment Costs Based on the Wasserstein Metric," Mathematics, MDPI, vol. 10(22), pages 1-21, November.
    5. Luo, Shucheng & Xu, Zeshui & Zhu, Bin, 2024. "A bilateral deliberation mechanism for conflict resolving with multi-actor and multi-criteria," European Journal of Operational Research, Elsevier, vol. 319(1), pages 234-245.
    6. Hanyao Gao & Gang Kou & Haiming Liang & Hengjie Zhang & Xiangrui Chao & Cong-Cong Li & Yucheng Dong, 2024. "Machine learning in business and finance: a literature review and research opportunities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
    7. Xiao Tan & Jianjun Zhu & Tong Wu, 2022. "Dynamic Reference Point-Oriented Consensus Mechanism in Linguistic Distribution Group Decision Making Restricted by Quantum Integration of Information," Group Decision and Negotiation, Springer, vol. 31(2), pages 491-528, April.
    8. Yao Li & Wenhao Lin & Yucheng Dong & Cong-Cong Li & Francisco Herrera, 2024. "Consensus Reaching with Dynamic Trust Relationships and Cost-Learning in Group Decision Making," Group Decision and Negotiation, Springer, vol. 33(5), pages 1269-1300, October.

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