In linguistic multiple attribute decision making (MADM), flexible linguistic expressions can
provide a general way to express complex preference data linguistically, which presents the …

In some cases, decision makers (DMs) need to use multiplicative linguistic terms to express
evaluations, and probabilistic linguistic preference relation (PLPR) cannot meet the needs 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 …

Probabilistic linguistic term sets (PLTSs) may convey flexible and accurate qualitative
information to decision-makers, and it has been widely utilized to handle multi-attribute …

Due to the complex application scenarios and different user requirements, it is usually
difficult to evaluate communication technologies objectively and comprehensively …

Probabilistic linguistic term sets (PLTSs) are an effective tool to express preferences with
different weights for different linguistic terms, and the TODIM method is based on prospect …

Linguistic multi-attribute decision making (MADM) problems have received many attentions
in theoretical and practical aspects. It is well known that center of the linguistic MADM is the …

Due to the personalized and diversified expression habits, the evaluation information in
multiple criteria decision-making (MCDM) problems, especially those with multiple experts …

The Maclaurin symmetric mean (MSM) operator has the characteristic of capturing the
interrelationship among multi-input arguments, the probabilistic linguistic terms set (PLTS) …

A novel multi-attribute group decision making (MAGDM) method with multi-granular
probabilistic linguistic power is proposed in this paper. Firstly, distance measures between …