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Rough Sets and Knowledge Technology
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) usingdoi:10.1007/978-3-540-79721-0_38 dblp:conf/rskt/DembczynskiKS08 fatcat:rghs7drzpjaw3cdembhekm7lta