Selection of Suitable Set of Decision Rules Using Choquet Integral

Authors:
Laurent Wendling;Jan Rendek;Pascal Matsakis
Affiliations:
LORIA - ESIAL, Université Henri Poincaré, Vandœuvre-lés-Nancy, France 54506;LORIA - ESIAL, Université Henri Poincaré, Vandœuvre-lés-Nancy, France 54506;CIS Dpt, Université de Guelph, Canada ON N1G 2W1
Venue:
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2008

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Abstract

An approach to automatically extract pertinent subsets of soft output classifiers, assumed to decision rules, is presented in this paper. They are aggregated into a global decision scheme using the Choquet integral. A selection scheme is defined that discards weak or redundant decision rules, keeping only the most relevant subset. An experimental study, based on real world data attest the interest of our method.