Title :
Induction of fuzzy decision rules based upon rough sets theory
Author :
Drwal, Grzegorz ; Sikora, Marek
Author_Institution :
Inst. of Mathematics, Silesian Tech. Univ., Gliwice, Poland
Abstract :
This work describes a system which tries to join the advantages of rough sets methods and fuzzy sets methods to improve classification processes. The fuzzy set theory supports approximate reasoning and the rough sets theory is responsible for data analysis and processing of automatic fuzzy rules generation. This system was designed as a typical knowledge based system, which contains four main parts: rule extractor, knowledge base, inference engine and user interface.
Keywords :
data analysis; fuzzy set theory; inference mechanisms; knowledge based systems; pattern classification; rough set theory; approximate reasoning; automatic fuzzy rules generation; data analysis; fuzzy decision rules; fuzzy set theory; inference engine; rough sets theory; rule extractor; typical knowledge based system; user interface; Data analysis; Electronic mail; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Knowledge based systems; Least squares approximation; Mathematics; Rough sets;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375374
