This study aims to develop an integrated approach for solving probabilistic linguistic multi-
criteria decision-making (MCDM) problems. This study first reveals the limitations in the …

This paper focuses on qualitative multi-attribute group decision making (MAGDM) with
linguistic information in terms of single linguistic terms and/or flexible linguistic expressions …

This article puts forward a consensus framework for multi-criteria group decision-making
(MCGDM) with multi-granular uncertain linguistic information, where different decision …

We propose a two-layer weight determination model in a linguistic environment, when all the
clustering results of the experts are known, to objectively obtain expert weights in complex …

Dynamic large-scale multiple attribute group decision making (DLMAGDM) is ubiquitous in
many areas of the real world. It is composed of large numbers of decision makers, several …

The main objective of linguistic multi-expert decision making (MEDM) is to select the best
alternative (s) using linguistic judgements provided by multiple experts. This paper presents …

With the rapid information explosion and sharing, recommender systems (RS) play an
auxiliary role in assisting the Internet users to make decision especially in the e-service …

The probabilistic uncertain linguistic terms set (PULTS) is an effective tool to depict uncertain
linguistic opinions of individuals or groups in the procedure of decision making. Motivated by …

The aim of this paper is to put forward a consensus reaching method for multi-attribute group
decision-making (MAGDM) problems with linguistic information, in which the weight …

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 …