Abstract
In this paper we discuss the clustering of the set of criteria in a multicriteria decision analysis. Our approach is based on a generalisation of Kendall’s rank correlation resulting in the definition of a bipolar ordinal correlation index. A factorial decomposition of this index allows to compute the principal inertia planes of the criteria correlations. The same ordinal correlation index, modelling a symmetric bipolar-valued similarity digraph, allows us to compute a criteria clustering from its maximal cliques.
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Bisdorff, R. (2008). On Clustering the Criteria in an Outranking Based Decision Aid Approach. In: Le Thi, H.A., Bouvry, P., Pham Dinh, T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. MCO 2008. Communications in Computer and Information Science, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87477-5_44
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DOI: https://doi.org/10.1007/978-3-540-87477-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87476-8
Online ISBN: 978-3-540-87477-5
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