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

In group decision making with social network analysis (SNA), determining the weights of
experts and constructing the consensus-reaching process (CRP) are hot topics. With respect …

The development of big data and social media has driven large-scale group decision
making (LSGDM) to merge with social networks and focus on individual behavioral factors …

Social network group decision-making (SNGDM) develops rapidly because of the popularity
of online connections among experts. The current SNGDM studies mainly focus on the …

Large-scale group decision-making problems based on social network analysis and
minimum cost consensus models (MCCMs) have recently attracted considerable attention …

In social networks, decision makers of group decision-making (GDM) can have interactive
behaviors with different individual relationships. With large-scale group participation …

With the rapid development of societal and technological paradigms, large-scale group
decision making becomes an emerging topic. In conventional group decision making …

This study proposes a classification-based consensus framework in social network group
decision making, which aims to classify alternatives into several ordinal classes from best to …

In consensus-based social network group decision making (SN-GDM) problems, experts
tend to refuse modifications if they exceed the limit of their maximum compromise, which …

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 …