Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

For multi-attribute group decision-making (MAGDM) problems, this paper proposes a three-
way consensus model based on regret theory (RT) under the framework of probabilistic …

Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

The probabilistic linguistic term set (PLTS) is a powerful technique in representing linguistic
evaluations of individuals or groups in the process of decision making. The aim of this paper …

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

With the development of social network platforms, large-scale group decision-making in
social network (LSGDM-SN) has been formed. As decision makers (DMs) come from …

This paper proposes a comprehensive Multiple Criteria Group Decision Making (MCGDM)
method with probabilistic linguistic information based on a new consensus measure and a …

In the large-scale group decision making (LGDM) consensus process, it is usually assumed
that the obtained clusters do not change. However, as the individual preferences change as …

The probabilistic linguistic term set is a flexible and efficient tool to represent the cognitive
complex information of experts. It has attracted many scholars' attention since it was …

Online product reviews (OPRs) provide abundant information for potential customers to
make optimal purchase decisions, and they apply Big Data to better understand product …