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On the development of an outranking relation for ordinal classification problems: An experimental investigation of a new methodology

Zopounidis Konstantinos, Doumpos, Michael

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URI: http://purl.tuc.gr/dl/dias/D1F41B87-A68B-447B-977C-3286BD477CF5
Year 2002
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation M. Doumpos, C. Zopounidis ," On the development of an outranking relation for ordinal classification problems: An experimental investigation of a new methodology," Optim. Methods and Soft., vol. 17, no. 2,pp. 293-317, 2002.doi:10.1080/1055678021000012471 https://doi.org/10.1080/1055678021000012471
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Summary

Classification problems involve the assignment of a discrete set of alternatives described over some criteria into predefined groups. This paper is focused on the case where the groups are defined in an ordinal way. The methodology proposed in the paper is based on the multicriteria decision aid (MCDA) approach and the outranking relations theory. A new approach is presented to determine the parameters of an outranking relation classification model using a training sample of alternatives. The proposed methodology is extensively validated in terms of its classification performance through a comprehensive Monte Carlo simulation. The results of the methodology are compared to linear, quadratic and logit analysis.

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