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

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

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 …

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 …

Nowadays, society demands group decision making (GDM) problems that require the
participation of a large number of experts, so-called large scale group decision making (LS …

Large-scale group decision-making (LSGDM) in a social network environment requires the
collaborative consideration of large-scale decision-makers, social network structure, and …

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

Consensus reaching process (CRP) is a dynamic and interactive method used to reach a
group decision. Now that social networks and mobile internet are prominent features in daily …

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 …

In complex group decision making (GDM), reaching a consensus needs both the adequate
communication and exchange between the individual decision makers (DMs) and the input …