… and accurate preference information of experts. In this paper, we allow experts to use
probabilistic linguistic preference relations (PLPRs, [43]) to express their evaluation information. …

… In Section 4, based on the probability linguistic trust relationship, a SNA method is … In
Section 5, we propose a probabilistic linguistic GDM method under a social network environment. …

… rules for PLTS, GRA, and social network analysis (SNA). In Section 3, we propose a social
network GDM method for probabilistic linguistic information based on GRA. In Section 4, we …

… a new social network driven consensus method to solve MCGDM with probabilistic linguistic
information. … , the social networks and the complementary social networks are constructed. …

… propose probabilistic linguistic trust based on the idea of probabilistic linguistic term sets. …
To this end, we propose the definition of probabilistic linguistic trust function based on the idea …

… Therefore, it is necessary to adopt a social network … in reaching consensus based on social
network among experts, this … within the probabilistic linguistic and social network context. The …

… This paper proposes a novel consensus reaching method for GDM with Probabilistic
Linguistic Term Set (PLTS) under a social network environment. First, the preferences and trust …

… trust relationships are generally described using probabilistic linguistic terms. Therefore, to …
a trust relationship based social network for GDM under a probabilistic linguistic environment. …

… Currently, it is a prevalent thinking to introduce social networks into group decision-making
(… using probabilistic linguistic preference relations (PLPRs) under probabilistic linguistic term …

… consensus within social network (LSC-SN). Typically, experts are used to expressing their
evaluations with language that can be effectively characterized by probabilistic linguistic term …