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Regularized estimation for preference disaggregation in multiple criteria decision making

Zopounidis Konstantinos, Michael Doumpos

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URIhttp://purl.tuc.gr/dl/dias/5358EFC6-F5AF-47D5-B0DD-0836A53EE3F9-
Identifierhttp://link.springer.com/article/10.1007/s10589-007-9037-9-
Identifierhttps://doi.org/10.1007/s10589-007-9037-9-
Languageen-
Extent20 pagesen
TitleRegularized estimation for preference disaggregation in multiple criteria decision makingen
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
CreatorMichael Doumposen
CreatorΔουμπος Μιχαληςel
PublisherSpringer Verlagen
Content SummaryDisaggregation methods have been extensively used in multiple criteria decision making to infer preferential information from reference examples, using linear programming techniques. This paper proposes simple extensions of existing formulations, based on the concept of regularization which has been introduced within the context of the statistical learning theory. The properties of the resulting new formulations are analyzed for both ranking and classification problems and experimental results are presented demonstrating the improved performance of the proposed formulations over the ones traditionally used in preference disaggregation 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 Item2015-11-18-
Date of Publication2007-
SubjectMultiple criteria decision makingen
Subject Preference disaggregationen
SubjectLinear programmingen
SubjectRegularization en
Bibliographic CitationM. Doumpos and C. Zopounidis, "Regularized estimation for preference disaggregation in multiple criteria decision making," Computat. Optimizat. Applicat., vol. 38, no. 1, pp. 61-80, Sep. 2007. doi:10.1007/s10589-007-9037-9en

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