This paper considers a group decision-making mechanism for a group of social agents with
ambiguous interactions. First, a fuzzy inference approach is introduced to describe bounded …

Opinion dynamics (OD) models, which simulate individuals' opinion evolution process on
social network to analyze the final state of opinion distribution in a group, usually differ from …

Hybrid opinion dynamics which involves two types of individuals (ie, leaders and followers)
communicate in real time and share opinions and knowledge have been widely used in …

When people express their opinions, they often cannot provide exact opinions but express
uncertain opinions, such as numerical interval opinions. Moreover, due to the differences in …

Social network group decision-making (SNGDM) is a new type of group decision-making
(GDM) paradigm that has emerged in recent years. The traditional consensus feedback …

In combination with social networks, opinion dynamics models can effectively describe the
interaction and exchange of opinions between experts in social network group decision …

The vagueness in human opinions, the randomness in the interactions among individuals,
and the nonlinearities in opinion updates are challenging issues in modeling opinion …

Opinion dynamics is a kind of collective decision-making process and focuses on the study
of evolution and formation of opinions within a human society. Particularly, bounded …

Opinion dynamics is a complex collective behavior in human societies. When individuals
exchange opinions with others, they usually adopt a bounded confidence rule and only …

In most previous opinion dynamics research, the opinion evolution is usually defaulted to
evolving over a single topic; however, in more general scenarios, agents often discuss …