Title :
Rough-Neuro-Fuzzy Systems for Classification
Author :
Cpalka, Krzysztof ; Nowicki, Robert ; Rutkowski, Leszek
Author_Institution :
Dept. of Comput. Eng., Czestochowa Univ. of Technol.
Abstract :
In the paper we present flexible neuro-fuzzy systems and a method for their reduction. The method is based on the concept of the weighted triangular norms. Moreover, a rough-neuro-fuzzy classifier working in the case of missing features is described.
Keywords :
fuzzy neural nets; pattern classification; rough set theory; flexible neuro-fuzzy systems; rough-neuro-fuzzy classifier; rough-neuro-fuzzy systems; weighted triangular norms; Computational intelligence; Computer science education; Encoding; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Humans; Neural networks; Rough sets; System testing;
Conference_Titel :
Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0703-6
DOI :
10.1109/FOCI.2007.372140
