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Multi-group discrimination using multi-criteria analysis: Illustrations from the field of finance

Zopounidis Konstantinos, Michael Doumpos

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URIhttp://purl.tuc.gr/dl/dias/D21208AC-2BAE-45FB-99B6-91D395029CD9-
Identifierhttp://www.sciencedirect.com/science/article/pii/S0377221701003605-
Identifierhttps://doi.org/10.1016/S0377-2217(01)00360-5-
Languageen-
Extent19 pagesen
TitleMulti-group discrimination using multi-criteria analysis: Illustrations from the field of financeen
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
CreatorMichael Doumposen
CreatorΔουμπος Μιχαληςel
PublisherElsevieren
Content SummaryThe primary objective in the discrimination problem is to assign a set of alternatives into predefined classes. During the last two decades several new approaches, such as mathematical programming, neural networks, machine learning, rough sets, multi-criteria decision aid (MCDA), etc., have been proposed to overcome the shortcomings of traditional, statistical and econometric techniques that have dominated this field since the 1930s. This paper focuses on the MCDA approach. A new method to achieve multi-group discrimination based on an iterative binary segmentation procedure is proposed. Five real world applications from the field of finance (credit cards assessment, country risk evaluation, credit risk assessment, corporate acquisitions, business failure prediction) are used to illustrate the efficiency of the proposed method as opposed to discriminant analysis.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-08-
Date of Publication2002-
SubjectDiscriminationen
SubjectMulticriteria decision aiden
SubjectPreference disaggregationen
Subject Financial decision makingen
Bibliographic CitationC. Zopounidis and M. Doumpos, "Multi-group discrimination using multi-criteria analysis: illustrations from the field of finance," Europ. J. Operat. Res., vol. 139, no. 2, pp. 371-389, Jun. 2002. doi:10.1016/S0377-2217(01)00360-5en

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