Titlebook: Large-Scale Group Decision-Making with Uncertain and Behavioral Considerations; Methods and Applicat Tong Wu,Xinwang Liu Book 2023 The Edit

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Large-Scale Group Decision-Making Considering Trust Behavior,The application of trust in GDM?consensus was introduced in the previous chapters. This chapter mainly introduces the role of trust in LSGDM, such as trust based clustering analysis, non cooperative behavior analysis and large-scale group consensus optimization.

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Application of LSGDM Methods,With the rapid development of social media, traditional E-commerce has gradually transitioned to S-commerce.?In other words, there is a social relationship between large groups of users in social commerce.?This chapter introduces the application of LSGDM?methods in social recommendation.

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Tong Wu,Xinwang LiuCombines managerial, computerized, psychological, and sociological expertise from an interdisciplinary standpoint.Introduces several credible and efficient clustering analysis algorithms under uncerta

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Interval Type-2 Fuzzy Decision-Making,r introduces the interval type-2 fuzzy decision-making methods, including the?preference information processing based on the representation of type-2 fuzzy sets, type-2 fuzzy multi-criteria decision-making methods,?and the clustering analysis methods based on type-2 fuzzy preference.

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Large-Scale Group Decision-Making with Interval Type-2 Fuzzy Preferences,tion.?This chapter?introduces the interval type-2 fuzzy LSGDM?methods from the perspective of large-scale DMs and attributes, and introduces?a dynamic programming algorithm-based clustering model with IT2 FSs for LSGDM problems.

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Social Trust Relationships in Group Decision-Making,ex influence mechanism in GDM?consensus due to its?transitivity, asymmetry, difficulty to establish and easy to destroy characteristics.?Because of the difficulty of acquiring explicit trust, this chapter mainly introduces the establishment of implicit trust based on similar preferences and its appl

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Consensus Evolution Networks in Group Decision-Making,can provide powerful tools for complex relationship analysis.?Inspired by the techniques of social network analysis, this chapter provides the concept of consensus evolution networks (CENs) that can help us explore the nature of CRP.?More importantly, this chapter?studies?the interaction between opi

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New Perspectives on Consensus Reaching Process in Large-Scale Group Decision-Making,onship, that is, the CRP and?clustering analysis should be an iterative process, and the CRP?may in turn cause changes in clustering results. This chapter?study the CRP in?LSGDM from the new perspectives of dynamic clustering and opinions adjustment costs.

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