Multi-attribute group decision making (MAGDM) model which uncovers the preferences of
individuals has become increasingly important in enhancing the efficiency of expert systems …

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

In this article, we propose the concept of flexible linguistic preference relations (FLPRs), in
which the flexible linguistic expressions, a more flexible way to form linguistic expressions …

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 …

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 …

Various linguistic expressions have been presented to model the flexibility of linguistic
preference expressions and to support the consensus reaching in linguistic group decision …

Multi-granular fuzzy linguistic modeling enables evaluators to express opinions with several
linguistic term sets, but it cannot simultaneously reflect hesitancy and preference degrees of …

In this paper, we propose the concept of distribution assessments in a linguistic term set, and
study the operational laws of linguistic distribution assessments. The weighted averaging …

This study focuses on linguistic information operational realization through information
granulation in group decision-making (GDM) scenarios where the preference information …

Comparing probabilistic linguistic term sets (PLTSs) is quite essential in solving PLTS-
expressed multi-attribute group decision-making problems (PLTS-MAGDM). Researchers …