Social network utility consensus model with empathic and fuzzy interactions. (January 2023)

• Record Type: Journal Article
• Authors: Song, Huanhuan; Gong, Zaiwu; Forrest, Jeffrey Yi-Lin; Guo, Weiwei; Herrera-Viedma, Enrique
• Is Part Of: Computers & industrial engineering. Volume 175(2023)
• Publication Date: 2023-01
• Subjects: Cost consensus -- Social network -- Choquet integral -- Empathy -- Utility function -- Influence index; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2022.108904
• Languages: English
• ISSNs: 0360-8352

Abstract

Abstract: In social network group decision-making, interactions between decision makers are the basis for the formation of a sufficient consensus. Based on the traditional minimum cost consensus models, this study adopts Choquet integral and empathy theory to consider interaction constraints that exist in the integration of a consensus opinion and the evolution of opinion adjustments. We employ social network structures, interaction characteristics, and influence indices as weight constraints to study the convergence law of social network cost consensus, and apply piecewise-linear utility functions to fit the heterogeneity and stage characteristics of decision makers' attitudes. Three cost consensus models of social utility maximization are constructed with consideration of fuzzy interaction, empathic interaction, and a mixture of fuzzy and empathic interactions, respectively. And this paper extracts the correlation between traditional cost consensus models and cost consensus models with interaction. A case analysis of emergency material reserve decision-making explains the good applicabilities the constructed models in this paper. Highlights: Consensus model with empathic and fuzzy interactions is constructed. Piecewise-linear utilities are used to fit the decision makers' characteristics. Social network topology is introduced into the consensus model. The above model is comprehensively applied to the emergency material reserve.