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Group consensus reaching based on a combination of expert weight and expert reliability

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  • Xue, Min
  • Fu, Chao
  • Yang, Shan-Lin

Abstract

Multi-criteria group decision making (MCGDM) as a key module in a group decision support system has attracted much attention. Different experts in MCGDM may hold different decision interests. To generate the solution that is accepted by most experts, a group consensus reaching process has been widely applied in MCGDM along with multiple rounds of group analysis and discussion (GAD). How to characterize the dynamic variation of experts’ opinions in the above process is a critical issue. To solve this problem, expert reliability is defined by measuring the dynamic variation of the support degree from other experts in GAD. By considering expert reliability and expert weight simultaneously, a group consensus measure is proposed and a group feedback mechanism is constructed to accelerate the convergence of group consensus. The dynamic variation of experts’ opinions, especially their non-cooperative behaviors, can be well addressed by using the constructed feedback mechanism. The proposed group consensus reaching process including the group consensus measure and feedback mechanism is applied to solve a problem of evaluating the safety performance of an enterprise located in Changzhou, a city in Jiangsu Province, China, in order to verify its applicability and effectiveness in MCGDM.

Suggested Citation

  • Xue, Min & Fu, Chao & Yang, Shan-Lin, 2020. "Group consensus reaching based on a combination of expert weight and expert reliability," Applied Mathematics and Computation, Elsevier, vol. 369(C).
    • Handle: RePEc:eee:apmaco:v:369:y:2020:i:c:s009630031930894x
    DOI: 10.1016/j.amc.2019.124902
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    References listed on IDEAS

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    6. Fu, Chao & Yang, Jian-Bo & Yang, Shan-Lin, 2015. "A group evidential reasoning approach based on expert reliability," European Journal of Operational Research, Elsevier, vol. 246(3), pages 886-893.
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    Cited by:

    1. Zhang, Zhi-Gang & Hu, Xiao & Liu, Zhao-Ting & Zhao, Lu-Tao, 2021. "Multi-attribute decision making: An innovative method based on the dynamic credibility of experts," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    2. Zhibin Wu & Rong Yuan & Jiancheng Tu, 2021. "Group Decision Making with Transitive Preferences Under Ordinal and Cardinal Consistencies: An Optimization Approach," Group Decision and Negotiation, Springer, vol. 30(1), pages 221-250, February.
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    4. Chao Fu & Wenjun Chang, 2024. "A Markov Chain-Based Group Consensus Method with Unknown Parameters," Group Decision and Negotiation, Springer, vol. 33(5), pages 1019-1048, October.

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