… We describe this using probability vectors over decision classes. We cluster classifiers with
respect to similarities of the probability vectors. For every cluster, we find a kind of combined …

… 1) Design the dynamic clustering analysis process (DCAP): We construct … clustering method
based on a community detection method. The DCAP appears when the proposed clustering …

… can greatly assist in the decision making of ego vehicle in terms of … making the driving styles
identification highly challenging. To this end, in this paper we propose a dynamic clustering …

… decision makers (DMs): 1) Information credibility directly determines the reliability of clustering
results and final decision … credibility-supervised dynamic clustering and consensus model …

… of a multi-agent decision-making system is proposed. In this section, the definition of a
multi-agent decision-making system with dynamically generated clusters is given. The fourth …

… Decision analysis is used when a decision maker would like to assess the performance
of a number of alternative solutions for a given problem [38]. Usually, these solutions can be …

… clustering algorithm is employed to classify these data points into disjoint clusters, allowing
the decision maker to … eliminate at the first level dominated clusters and at the second level …

… a dynamic clustering policy that estimates customer preferences by adaptively adjusting
customer segments (clusters … The case study suggests that the benefits of the dynamic clustering …

… The objective of this study was to design, to implement and to validate a framework for the
development of decision system support based on fuzzy set theory using clusters and dynamic …

… In this way, the clusters with the same number of decision makers but … by the correlations
between decision makers and propose a … not only the cluster size, but also the cluster cohesion. …