Handling multicriteria preferences in cluster analysis

Eduardo Fernandez, Jorge Navarro and Sergio Bernal

European Journal of Operational Research, 2010, vol. 202, issue 3, 819-827

Abstract: In the framework of multicriteria decision aid, a lot of interest has been devoted to sorting problems, in which the set of categories is pre-defined. Besides, preference oriented multicriteria clustering has received little attention. Usual geometric and related metrics are not well suited for this problem. Here, we propose a clustering method based on a valued indifference relation inspired by outranking methods. We suggest a method (based on comparing cluster centers and an average net flow score of clusters) to build a complete ranking of the set of clusters, that is, a way of defining a set of ordered categories for sorting purposes. The new approach performs very well in some examples.

Keywords: Data; mining; Clustering; Multicriteria; analysis; Outranking; methods (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:202:y:2010:i:3:p:819-827

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