… to fit uncertain linguistic terms in PULPRs, which may be transformed into probabilistic linguistic
… Second, to preserve as much as possible the original preference information of DMs, a …

… the cloud model for large group decision making with linguistic information. Finally, in order
to … a linguistic probabilistic weighted average operator to aggregate the linguistic information. …

… ) allows the decision makers (DMs) to give the weight of each linguistic term as a probability,
… a three-way decisions method for multiple attribute group decision making in which the DMs…

… and propose some probabilistic linguistic MSM … probabilistic linguistic MSM (PLMSM)
operators are proposed, and their properties and some special cases are discussed. In “A Decision-…

… -attribute group decision making with the linguistic assessment, … the values of both the
conditional probability and the loss functions. … probability in the three-way decisions with DTRS is …

… may be assigned to all possible linguistic terms, this paper investigates a novel three-…
group decision-making method based on the probabilistic linguistic term set (PLTS) information …

… However, the complexity of probabilistic linguistic LGDM and the … information in the form
of PLTs. For this, we propose an expertise-based probabilistic linguistic evaluation information …

… Secondly, due to the forms of assessing information by VCs and the characters of VC, we
put linguistic decision-making and probabilities into account together. Thirdly, the framework …

… addressing uncertain information in the decision-… probabilistic linguistic information. The
model has three stages. In the first stage, we define probabilistic linguistic large-group decision …

… preference information. So it is natural that we want to apply PULIFS to group decision-making …
the application of qualitative information in fuzzy theory. This is the first focus of this paper. …