Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints

摘要：

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 data.set (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.

作者: Krzysztof Dembczy(n)ski Wojciech Kot(l)owski Roman S(l)owi(n)ski

作者单位: Institute of Computing Science,Pozna(n) University of Technology,60-965 Poznafi,Poland Institute of Computing Science,Pozna(n) University of Technology,60-965 Poznafi,Poland; Systems Rese

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 260-267

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）