In this paper, we consider that agents judge the feasible alternatives through linguistic terms –when they are confident in their opinions– or linguistic expressions formed by several consecutive linguistic terms –when they hesitate. In this context, we propose an agglomerative hierarchical clustering process where the clusters of agents are generated by using a distance-based consensus measure.

Article history: Received 25 September 2007 Received in revised form 21 May 2008 Available online 22 July 2008 Communicated by L. Heutte

We present a short introduction to an hierarchical clustering method of high-dimensional data via localized

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