Opinion evolution is a common phenomenon in social network group decision-making
(SNGDM), where the key issue is modelling trust weights among individuals. In social and …

In combination with social networks, opinion dynamics models can effectively describe the
interaction and exchange of opinions between experts in social network group decision …

Because of the increasing complexity of real-world decision-making environment, there is a
trend that a large number of decision-makers are becoming involved in group decision …

Large-scale group decision making (LSGDM) is considered when the number of experts
involved in the decision exceeds 20. Due to the large number of people involved in LSGDM …

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 …

Multi-criteria group decision making (MCGDM) as a key module in a group decision support
system has attracted much attention. Different experts in MCGDM may hold different …

The development of big data and social media has driven large-scale group decision
making (LSGDM) to merge with social networks and focus on individual behavioral factors …

The scoring habits of experts are embodied in expert evaluation scale (EES). We show that
many inaccurate consensus and ranking results can occur in group decision making (GDM) …

Consensus reaching processes (CRPs) have been required to assure the consensus in
large scale group decision making (LSGDM). Opinion reliability detection has been …

Trust and distrust relationships are both common in social interactions of group decision
making (GDM). Traditionally, trust/distrust levels are fixed in the opinion evolution process …