A bargaining game is used to develop feedback mechanism for dynamic social networks
group decision making (SN-GDM). The dynamic trust relationships between experts are …

A promising feature for group decision making (GDM) lies in the study of the interaction
between individuals. In conventional GDM research, experts are independent. This is …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

Consensus group decision making (CGDM) allows the integration within this area of study of
other advanced frameworks such as Social Network Analysis (SNA), Social Influence …

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) …

Consensus reaching is essential in group decision-making (GDM) since it can mitigate
conflicts between expert opinions and promotes the further implementation of decision …

With the scale of group decision making increasing, it is a crucial issue to get the utmost of
collective intelligence for seeking the optimal solution. In this study, we propose an …

Large-scale group decision-making (LSGDM) based on social networks has become an
important part of practical decision-making. The trust relationship in social networks has an …

Social network large-scale decision-making (SN-LSDM) has attracted much attention in the
field of decision science. Clustering and consensus building are two important processes for …

Traditional large-scale group decision-making (LSGDM) methods assume that the decision-
makers (DMs) are independent, and the trust relationships among DMs in the social network …