Similarity–trust network for clustering?based consensus group decision?making model

Trust relation, as defined in Social Network Analysis (SNA), is one of the recent notions considered decision making. This inspired our integration trust relation constructing a similarity–trust network. Similarity experts' preferences analyzed inclusively with by defining new combination function both attributes. The agglomerative hierarchical clustering approach applied to group experts into subclusters based on constructed similarity—trust degrees. centrality concept from SNA then used determine expert's (STC) index, which basis for construction aggregation operator, STC-induced ordered weighted averaging fuse individual collective one, consensus solution derived. An analysis results different levels degree carried out. We show that this idea promising and relevant be solving certain decision-making problems.