… confidence and social network. The approach studied group consensus from social network
… mechanism to help experts reach a consensus. The main contributions and novelties of this …

… In Section 4 we integrate the proposed network in a Group decision making scenario and
we validate the model through extensive simulations. Finally in Section 5 we expose the …

… reach consensus. In the proposed model, we first define the … consensus measure and
the group consensus measure, and then use a network partition algorithm to detect sub-networks …

… a consensus model based on the trust-consensus multiplex network by combing trust social
network … Inspired by the advantages of social network analysis, we defined the consensus …

… the social network and opinion dynamics of social networks. In SNGDM, the social relationship
among DMs is represented by a network … DMs because of their social relationship. They …

… To discuss the consensus decision problem of LSGDM in the social network environment,
this paper uses the trust evaluation value and relationship strength to represent an expert’s …

… ’ indirect trust values and weights based on the social trust network. Second, a multi-objective …
-based consensus-reaching model is designed for achieving a group consensus based on …

… a consensus model based on trust networks with preferences expressed via ULTS. To do
so, by analyzing characteristics of the social network representing a decision group, we …

… on one type of social network-the trust network-in which the users explicitly express their
opinion as trust and distrust statements (Victor et al. 2009). A social network is a social structure …

… (DMs) as a dynamic social network (in terms of their … social networks and propose a novel
two-stage consensus model. First, a hybrid trust network is built to dynamically represent social …