We establish in this paper the optimization model of group consensus of 2-tuple linguistic
preferential relations (LPRGCO Model), put forward three kinds of solutions to this model …

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

Preference reliability analysis for preference relations reflected by the ordinal consistency
and the cardinal consistency was intensively studied. The ordinal consistency is a minimum …

Large-group decision making (LGDM) has attracted extensive attention and has been used
to model complex decision problems. It is necessary to implement a consensus reaching …

Probabilistic linguistic term set (PLTS) conveys the preference for a linguistic term by
assigning a probability distribution, which can more correctly and flexibly reflect the decision …

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

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 …

The use of probabilistic uncertain linguistic preference relations (PULPRs) enriches the
flexibility of decision makers (DMs) in group decision making (GDM). However, the GDM …

A group decision making (GDM) problem is often modeled by using a reciprocal preference
relation (RPR) structure. Linguistic information is widely used in RPRs to depict its …

In some real-world decision processes, decision makers may prefer to provide their opinions
using linguistic expressions instead of a single linguistic term. Particularly, they may hesitate …