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

Large scale group decision making (LGDM) problems and social network analysis (SNA)
methods are both attracting increasing attention, and SNA methods are useful for …

Large-scale group decision making (LSGDM) is characterized by a large number of
participators, multiple groups and a mass of decision data provided by the participators. With …

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 …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

In consensus-based multiple attribute group decision making (MAGDM) problems, it is
frequent that some experts exhibit non-cooperative behaviors owing to the different areas to …

The proliferation of network technology has led to the focus on large-scale group decision-
making (LSGDM). This study establishes a consensus model by constructing dynamic trust …

Large-scale group decision-making (LSGDM), which involves dozens to hundreds of
decision-makers (DMs), is attracting extensive attention and has become an interesting and …

Social network large-scale decision-making (SN-LSDM) has attracted much attention in the
field of decision science. Clustering and consensus building are two important processes for …

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 …