Large-scale group decision making is common in real-world scenarios, yet it involves two
critical issues:(1) clustering individuals into subgroups according to specific criterion, and (2) …

Traditional large-scale group decision-making (LSGDM) methods assume that the decision-
makers (DMs) are independent, and the trust relationships among DMs in the social network …

In group decision making (GDM), consensus level is regarded as a critical criterion to
measure the effectiveness and availability of the final group decision solution. Consensus …

Social trust network (STN) has facilitated information exchange between experts during
interactions. Some feedback mechanisms have been used to provide advices for opinion …

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 …

Social network (SN) provides a new perspective for large-scale multi-attribute group
decision making (LMAGDM), and the scale and complexity of group compositions have …

In the big data era, it is practical and generalizable to use social media data for decision-
making. Thus, determining how to effectively use this kind of data to support large-scale …

A theoretical feedback mechanism framework to model consensus in social network group
decision making (SN-GDM) is proposed with following two main components:(1) the …

In group decision making (GDM) problems, it is natural for decision makers (DMs) to provide
different preferences and evaluations owing to varying domain knowledge and cultural …

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