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 …

With the development of big data and social computing, large-scale group decision making
(LGDM) problems attract much attention and become merging with social networks or …

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 …

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

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 …

Trust relationship is an effective basis for reducing the dimensionality of decision makers
(DMs) for group decision making (GDM) problems in the context of social networks, and …

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

Experts are assumed to be mutually independent and incomplete decision matrices are
used, in traditional large-scale group decision-making (LSGDM). Social network analysis …

Group decision-making (GDM) in large-group social network environment (LGSNE) has
attracted considerable attention in the field of decision science. Social relationships exist …