In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …

In computing with words, it has been stressed that words mean different things for different
people, which entails that decision makers (DMs) have personalized individual semantics …

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

A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …

Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …

With the rapid development of society and continual progress of science and technology,
large-scale group decision-making (LSGDM) problems are very commonly encountered in …

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 develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

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 …

Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …