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 …

When expressing preferences in qualitative setting, several possible linguistic terms with
different weights (represented by probabilities) may be considered at the same time. The …

Fuzzy linguistic preference relations (FLPRs) are an efficient way to express qualitative
judgments of decision makers (DMs). This paper proposes a new group decision making …

Incomplete probabilistic linguistic term sets (InPLTSs) can effectively describe the qualitative
pairwise judgment information in uncertain decision-making problems, making them suitable …

In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …

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 …

We develop a new compatibility for the uncertain additive linguistic preference relations and
utilize it to determine the optimal weights of experts in the group decision making (GDM) …

Linguistic group decision making (LiGDM) aims at solving decision situations involving
human decision makers (DMs) whose opinions are modeled by using linguistic information …

Inspired by the concept of deviation measure between two linguistic preference relations,
this paper further defines the deviation measure of a linguistic preference relation to the set …

The hesitant fuzzy linguistic term set (HFLTS) and the linguistic distribution are becoming
popular tools to model linguistic expressions with multiple linguistic terms in decision …