Bazan J., Nguyen H.S., Nguyen S.H., Synak P., Wróblewski J., 2000. Rough Set Algorithms in Classification Problem. In: L. Polkowski, S. Tsumoto and T.Y. Lin (eds.): Rough Set Methods and Applications. Physica-Verlag, Heidelberg, New York 2000, pp. 49 - 88.
ABSTRACT
In the paper 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. 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).