@INCOLLECTION { Rsds2930,
author = {Bazan, Jan G. and Nguyen, Hung Son and Nguyen, Sinh Hoa and Synak, Piotr and Wroblewski, Jakub}, 
title = {Rough Set Algorithms in Classification Problem}, 
booktitle = {Rough set methods and applications: new developments in knowledge discovery in information systems}, 
series =  = {Studies in Fuzziness and Soft Computing}, 
pages = {49--88}, 
publisher = {Physica-Verlag}, 
address = {Heidelberg, Germany}, 
year = 2000, 
note = {This volume is dedicated to the memory of Professor Adam Mrozek}, 
editor = {Polkowski, Lech and Tsumoto, Shusaku and Lin, Tsau Young}, 
issn = {1434-9922}, 
isbn = {3-7908-1328-1}, 
abstract = {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 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, }, 
}