In practical decision-making problems, probabilistic linguistic term sets (PLTSs) are a very
useful and flexible way to represent the qualitative judgments of experts. The PLTSs also …

In practical multiple attribute group decision making (MAGDM) issues, uncertain and fuzzy
cognitive decision information is well-depicted by linguistic term sets (LTSs). These LTSs are …

The dual probabilistic linguistic (DPL) term sets are considered superior to probabilistic
linguistic term sets. Further, the generalized Dombi (GD) operators are pretty flexible with the …

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 …

The generalized Maclaurin symmetric mean (GMSM) operator not only can consider the
interrelationship among the multi-input arguments, but also can be flexibly converted to …

Fuzzy linguistic approach is considered as an effective solution to accommodate
uncertainties in qualitative decision making. In the face of increasingly complicated …

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

In this study, we concentrate on multiple attribute decision-making (MADM) problems in the
probabilistic linguistic preference information surroundings based on novel aggregation …

In this study, a multi-attribute group decision making (MAGDM) problem is investigated, in
which decision makers provide their preferences over alternatives by using linguistic 2-tuple …

In the multi‐criteria group decision‐making (MCGDM) problems with great uncertainty,
making full use of participants' evaluation information could help improve the accuracy and …