Social networks are gaining importance as an important application landscape for machine
learning techniques. Currently, it is prevalent thinking to introduce social networks into group …

Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …

Consensus plays a pivotal role in large-scale group decision-making, and the social network
relationship significantly impacts the consensus reaching process (CRP). Consequently …

Natural language could be a common method for individuals to specific social relationships
or self-evaluation (ie, assured or unconfident). Hence, it is important to contemplate …

Social network group decision-making (SNGDM) develops rapidly because of the popularity
of online connections among experts. The current SNGDM studies mainly focus on the …

Group decision making (GDM) problems require consensus reaching processes; however,
these can be time consuming and costly. As experts change their evaluations after …

In group decision making with social network analysis (SNA), determining the weights of
experts and constructing the consensus-reaching process (CRP) are hot topics. With respect …

The advancement of science and technology and the development of network environments
have made social network multi-criteria group decision making (SN-MCGDM) an interesting …

With the development of social media, social networks (SNs) have gradually become the link
of information exchange between people. The social trust network (STN), a typical SN, is …

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 …