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 …

Due to the development of intelligent decision-making, social network group decision-
making (SNGDM) has become increasingly valued. Generally, real SNGDM cases involve …

Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …

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

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 problems based on social network analysis and
minimum cost consensus models (MCCMs) have recently attracted considerable attention …

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 …

Decision makers (DMs) may exhibit non-cooperative behaviors such as deviating from
recommendations or making only minor modifications in consensus-based group decision …

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 …

In real-world decision problems, decision makers usually express their opinions with
different preference structures. In order to deal with the heterogeneous preference …