Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481167 | European Journal of Operational Research | 2010 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Eduardo Fernandez, Jorge Navarro, Sergio Bernal,