… consensus reaching process (CRP) due to their own interests. As a result, this paper focuses
on developing a consensus reaching … are used to obtain experts’ weight vector. Afterwards, …

… making process. Then, we briefly introduce the procedure of the consensus reaching model.
… Motivated by that, we put forward a weighted hybrid generalized hesitant distance for HFEs, …

… The main structure of this paper includes the experts’ weights-determining method, the
consensus reaching process and the simulation experiment, and these three parts are discussed …

… [62] propose a new method for the adaptive consensus process. In this study, first, the
closeness is calculated based on the current experts’ weights, and then the current optimal experts…

… degrees about the solution set of alternatives has to take a more important weight in this …
the first steps of the consensus process, ie, when the difference between experts’ preferences is …

… optimal trust-induced consensus process is designed with the usage … weight of each expert
is decomposed into two portions, namely: 1) the individual weights and 2) interactive weights. …

… distance to facilitate consensus reaching among experts. … For experts who are not in the
confidence set, their weights … , the consensus reaching process, and the ranking process of …

… of experts’ preferences. To avoid this issue, we first propose a joint framework to integrate the
consensus reaching process … In M 1 , we select weighted averaging (WA) as the aggregate …

… the weight of each cluster, as well as individual expert weights. To aggregate the expert
opinions in … Then we have obtained the weight collective loss functions of all clusters. We have …

… in which a group of decision makers or experts are invited to provide their preference …
weights-determining method, which can obtain the weight of each small group, the weights …