… a reliability perspective based on an evidential reasoning approach and linguistic granulation
… Additionally, using the evidential reasoning rule, the aggregated weights of experts are …

… evidence-based updating occurs. In these studies, we observe that combining evidence-based
updating and consensus … as a result of receiving new evidence. This would seem to offer …

… inference model using the newly-proposed evidential reasoning (ER) rule. The ER rule
constitutes a generic conjunctive probabilistic reasoning process and generalises Dempster’s …

… based on probabilistic matrix factorization and evidential reasoning (GPMF_ER) is proposed
… Afterward, evidential reasoning rule is introduced in the aggregation step to consider both …

… of one form of evidence to another, or the combination of two items of evidence using Dempster’s
… faults can occur simultaneously, and we receive two independent pieces of evidence: …

In this study, physical models are used to model reflections from target primitives commonly
encountered in a mobile robot's environment. These targets are differentiated by employing …

… an evidential reasoning based consensus model for … Adaptive consensus method based
on multi-level consensus indices and dominance indices In this section, an adaptive consensus …

… The idea of our approach is to learn until a consensus between the learning agents, this …
consensus, however their results will be very close and we can say that a kind of consensus …

… Its corresponding evidential reasoning framework is theoretically attractive. However, there
are outstanding issues that hinder its use in real-life applications. Two prominent issues in …

… Here, the probability of correct classification is derived from the consensus of three logical
sonars, illustrating how fusion provides an increase in evidential support that raises the prob…