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Confidence Consensus-Based Model for LSGDM

In: Large-Scale Group Decision-Making

Author

Listed:
  • Su-Min Yu

    (Shenzhen University)

  • Zhi-Jiao Du

    (Sun Yat-sen University)

Abstract

Because of the complexity of real-world problems, large-scale group decision-making has become a research topic of great interest in the field of decision science. Differences of opinion in a large group are highly likely. Sometimes, decision makers are unwilling to adjust their opinions to promote consensus. It is hence necessary to establish a consensus model for the effective management of opinion differences and non-cooperative behaviors. More importantly, the credibility of the adjustment information must be ensured. In this chapter, we present a confidence consensus-based model for large-scale group decision-making that provides a novel approach to addressing non-cooperative behaviors. First, some new concepts are proposed, including the collective adjustment suggestion and rationality degree. Then, we combine the rationality and non-cooperation of the adjustment information to construct the concept of a confidence level. This confidence level measures the impartiality and objectivity of the adjustment information and is the basis for managing non-cooperative behaviors. We then establish a mechanism for addressing non-cooperative behaviors. Finally, we present a case study that illustrates that the proposed model is feasible and effective. A comparative analysis reveals the features and advantages of this model for managing large-scale group decision making.

Suggested Citation

  • Su-Min Yu & Zhi-Jiao Du, 2022. "Confidence Consensus-Based Model for LSGDM," Springer Books, in: Large-Scale Group Decision-Making, chapter 0, pages 101-125, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-7889-9_6
    DOI: 10.1007/978-981-16-7889-9_6
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