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

The multi-granular probabilistic linguistic modeling allows decision makers to express
cognitive information using multiple linguistic term sets based on their preferences …

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 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 …

In real decision making, due to the limitation of knowledge, problem complexity and time
pressure, it is natural that decision makers express their opinions with incomplete linguistic …

In group decision making (GDM) dealing with Computing with Words (CW) has been
highlighted the importance of the statement, words mean different things for different people …

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

In the problems that linguistic assessments are conducted by adopting multiple sources of
information representations, the management of unification of heterogeneous information …

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

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