Rough Set Algorithms in Classification Problem
Jan G. Bazan, Hung Son Nguyen, Sinh Hoa Nguyen, Piotr Synak, Jakub Wróblewski · Studies in fuzziness and soft computing · 2000
We we present some algorithms, based on rough set theory, that can be used for the problem of new cases classification. Most of the algorithms were implemented and included in Rosetta system [43]. We present several methods for computation of decision rules based on reducts. We discuss the problem of real value attribute discretization for increasing the performance of algorithms and quality of decision rules. Finally we deal with a problem of resolving conflicts between decision rules classifying a new case to different categories (classes). Keywords: knowledge discovery, rough sets, classification algorithms, reducts, decision rules, real value attribute discretization