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Integration of Independent and Supervised Consensus Models

In: Large-Scale Group Decision-Making

Author

Listed:
  • Su-Min Yu

    (Shenzhen University)

  • Zhi-Jiao Du

    (Sun Yat-sen University)

Abstract

Traditional consensus models dealing with non-cooperative behaviors focus on the situation where only one decision-maker (DM) modifies its own opinion in each consensus iteration. However, some, or even all, DMs may adjust their opinions in one iteration, especially at the beginning. In this chapter, a mixed consensus model for managing non-cooperative behaviors is proposed. We first develop a novel method to calculate the weights of DMs, which contains multiple measurement attributes. An independent consensus model is then put forward to address the situation where multiple DMs modify their opinions in each iteration. By combining this independent consensus model with traditional consensus models, a mixed consensus model is constructed. Finally, a case study is used to show the feasibility and applicability of the proposed model.

Suggested Citation

  • Su-Min Yu & Zhi-Jiao Du, 2022. "Integration of Independent and Supervised Consensus Models," Springer Books, in: Large-Scale Group Decision-Making, chapter 0, pages 127-154, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-7889-9_7
    DOI: 10.1007/978-981-16-7889-9_7
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