Existing studies on social-network large-scale decision making (SN-LSDM) have overlooked
two vital roles of the information credibility of decision makers (DMs): first, information …

In traditional social network analysis-based large-scale group decision making (LSGDM),
decision makers (DMs) often trust others based on social prestige/status without sufficient …

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 …

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 …

The change in data structure and social paradigm have promoted the rapid development of
decision sciences. Large-scale group decision making (LSGDM) has gained widespread …

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 …

Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …

Large-scale group decision-making (LSGDM) under a social network context has attracted
much attention in the field of decision science. The clustering of individual opinions and the …

Clustering and the feedback mechanism in a consensus reaching process (CRP) have been
regarded as two critical components when solving the large-scale group decision-making …