Within the linguistic context, the same word can have different meanings for different
decision makers, which is known as personalized individual semantics (PIS). To manage …

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

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

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 …

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

As the number of participants involves in decisions getting complex and the heterogeneity
could be produced among decision makers, a large-scale group decision making (LGDM) …

To address the challenge of facilitating overall problem solving and improving the overall
efficiency of intelligent systems efforts through group decision making (GDM) by experts at …

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

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

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