DocumentCode
2820346
Title
Rough-Neuro-Fuzzy Systems for Classification
Author
Cpalka, Krzysztof ; Nowicki, Robert ; Rutkowski, Leszek
Author_Institution
Dept. of Comput. Eng., Czestochowa Univ. of Technol.
fYear
2007
fDate
1-5 April 2007
Firstpage
1
Lastpage
8
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0703-6
Type
conf
DOI
10.1109/FOCI.2007.372140
Filename
4233878
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