Integration of Independent and Supervised Consensus Models

Su-Min Yu () and Zhi-Jiao Du ()
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Su-Min Yu: Shenzhen University
Zhi-Jiao Du: Sun Yat-sen University

Chapter Chapter 7 in Large-Scale Group Decision-Making, 2022, pp 127-154 from Springer

Abstract: 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.

Keywords: Large-scale group decision-making (LSGDM); Non-cooperative behaviors; Mixed consensus-reaching model (MCRM); Independent consensus-reaching model (ICRM); Punishment approach (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-7889-9_7

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DOI: 10.1007/978-981-16-7889-9_7

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