… probabilistic linguistic term set (G-PLTS) to represent the evaluation information with
various linguistic … we call the generalised probabilistic linguistic evidential reasoning (GPLER) …

… decision-making (PLMAGDM) problem is studied from a reliability perspective based on
an evidential reasoning approach and linguistic granulation optimization. As decision-making …

… information granules of LTs with the particle swarm optimization (PSO) algorithm. With an
objective to reduce the information … of alternatives with the evidential reasoning (ER) algorithm …

… probabilistic linguistic multi-criteria decision-making (MCDM) problems. This study first reveals
the limitations in the existing methods for probabilistic linguistic … the evidence reasoning …

… In PLMAGDM, there is a significant amount of probabilistic linguistic information … information
and correlation between linguistic terms on ER, this paper proposes a modified evidence …

… that may be assigned to all possible linguistic terms, this paper investigates a novel three-…
probabilistic linguistic term set (PLTS) information systems. We first construct PLTS information …

… probability of failure of various components and associated consequences are defined using
linguistic … In this section, a new fuzzy evidential reasoning method is proposed to perform …

… linguistic information is the main research issue of this paper. As an MCDM method, evidential
reasoning (ER) approach can deal with linguistic … probability can be regarded as linguistic …

… individual linguistic term sets. Specifically, this study develops a novel uncertain multiple
criteria decision making approach, named multi-granular linguistic evidential reasoning method…

… probabilities on the links Chapter 10 Evidential Reasoning Under Uncertainty 401 tend to
attenuate the messages). If the loops are long, ignoring them is not going to introduce a …