Ślęzak D., Wróblewski J., 2000. Application of normalized decision measures to the new case classification. Proc. of RSCTC 2000, Banff, Canada. Also in: W. Ziarko, Y. Yao (eds.): Rough Sets and Current Trends in Computing. Springer-Verlag (LNAI 2005), Berlin, Heidelberg 2001, pp. 553 - 560.
ABSTRACT
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the notion of a parameterized approximate inconsistent decision reduct is used. Experimental extraction of considered models from real life data is described.