Regularized estimation for preference disaggregation in multiple criteria decision makingRegularized estimation for preference disaggregation in multiple criteria decision making Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-11-182007enDisaggregation 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.http://creativecommons.org/licenses/by/4.0/Computational Optimization and Applications38161-80 Zopounidis Konstantinos Ζοπουνιδης Κωνσταντινος Michael Doumpos Δουμπος Μιχαλης Springer Verlag Multiple criteria decision making Preference disaggregation Linear programming Regularization