Recently, large-scale group decision-making in the social network context has become an
attractive research hotspot in decision science. The focus of large-scale group decision …

Polarization in a group's opinions drives to disagreements and dissent among individuals,
which make it harder to achieve group satisfactory decisions. Within Group Decision Making …

Unlike many complex networks studied in the literature, social networks rarely exhibit
unanimous behavior, or consensus. This requires a development of mathematical models …

Different feedback mechanisms have been reported in consensus reaching models to
provide advices for preference adjustment to assist decision makers to improve their …

Large-scale group decision-making (LSGDM) has been widely studied to address
increasingly complex decision-making problems. The consensus-reaching process is …

The process of opinion formation and evolution is an important part of the study of opinion
dynamics. However, the existing opinion dynamics ignore the relationship between opinion …

Many consensus models in social network group decision making (SNGDM) have been
reported to obtain a collective solution despite the initial opinions of decision makers (DMs) …

Consider a group of agents which is to find a common agreement about some issues which
can be regarded and communicated as real numbers. Each agent has an opinion about …

The Deffuant model has attracted much attention in the study of opinion dynamics. Here, we
propose a modified version by introducing into the model a heterogeneous convergence …

In this paper, we propose a novel opinion dynamics model that is based on bounded
confidence and termed interval opinion dynamics with the dynamic bounded confidence. In …