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

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

Consensus reaching process (CRP) is very important for multi-criteria group decision
making (MCGDM). Recently, social network driven CRP methods have been deeply …

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 …

In group decision-making, the incomplete probabilistic linguistic preference relation
(InPLPR) has been widely studied because it can flexibly reflect the decision psychology of …

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 …

In group decision making (GDM) process, consensus is a fundamental problem. The
information provided by the experts in a GDM problem is usually expressed as preferences …

For a multi-attribute group decision making (MAGDM) problem, the so-called consensus
reaching process is used to achieve an agreement among experts and finally make a …

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

The use of incomplete probabilistic linguistic term sets (InPLTSs) can enrich the flexibility of
qualitative decision-making information expression, especially in decision-making situations …