Ensemble of decision rules for ordinal classification with monotonicity constraints
[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ 2 ] Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | [ P ] employee
2008
paper
english
EN Ordinal classification problems with monotonicity constraints (also referred to as multicriteria classification problems) often appear in real-life applications, however they are considered relatively less frequently in theoretical studies than regular classification problems. We introduce a rule induction algorithm based on forward stagewise additive modeling that is tailored for this type of problems. The algorithm monotonizes the dataset (excludes highly inconsistent objects) using Dominance-based Rough Set Approach and generates monotone rules. Experimental results indicate that taking into account the knowledge about order and monotonicity constraints in the classifier can improve the prediction accuracy.
260 - 267