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A multicriteria classification approach based on pairwise comparisons

Michael Doumpos, Zopounidis Konstantinos

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URI: http://purl.tuc.gr/dl/dias/FD7EDCC9-21E8-45FB-A728-A41150766631
Year 2004
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation M. Doumpos and C. Zopounidis, "A multicriteria classification approach based on pairwise comparisons," Europ. J. Operat. Res., vol. 158, no. 2, pp. 378-389, Oct. 2004. doi:10.1016/j.ejor.2003.06.011 https://doi.org/10.1016/j.ejor.2003.06.011
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Summary

Classification refers to the assignment of a set of alternatives into predefined homogenous classes. Most of the existing classification methodologies are based on absolute comparisons among the alternatives and some reference profiles (cut-off points) that discriminate the classes. This paper proposes a new approach that involves pairwise comparisons based on the multicriteria decision aid (MCDA) paradigm. The basis of the methodology is a preference relation that is used to perform pairwise comparisons among the alternatives. The criteria weights used to construct the preference relation are specified using a reference set of alternatives (training sample) on the basis of linear programming techniques.

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