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

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

This paper investigates a consensus reaching process (CRP) considering dynamic trust in
large-scale group decision making (LSGDM). In the traditional trust-based consensus …

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 …

A theoretical framework to deal with incomplete preference information in social network
group decision making (SN-GDM) is put forward. Firstly, the concept of the type-2 linguistic …

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 …

To eliminate discrepancies among decision makers'(DMs') evaluations, consensus reaching
process (CRP) is important in large scale group decision-making (GDM). In CRP, trust …

In group decision-making problems, decision-makers typically use probabilistic linguistic
term sets (PLTSs) to express their evaluation opinions. This paper focuses on the social …

In consensus-based social network group decision-making (SN-GDM) problems, the low
degree of harmony caused by opinion discrepancies and weak trust relationships may lead …

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 …