DocumentCode
3184167
Title
Sparse Fuzzy System Generation by Rule Base Extension
Author
Johanyak, Zsolt Csaba ; Kovacs, Szilveszter
Author_Institution
Kecskemet Coll., Kecskemet
fYear
2007
fDate
June 29 2007-July 2 2007
Firstpage
99
Lastpage
104
Abstract
This paper aims the introduction and comparison of two novel fuzzy system generation methods that implement the concept of incremental Rule Base Extension (RBE). Both methods automatically obtain from given input-output data a low complexity fuzzy system with a sparse rule base.
Keywords
computational complexity; fuzzy reasoning; fuzzy set theory; fuzzy systems; interpolation; learning (artificial intelligence); fuzzy rule interpolation-based reasoning; fuzzy set theory; incremental rule base extension; low-complexity fuzzy system; sparse fuzzy system generation method; Clocks; Educational institutions; Fuzzy sets; Fuzzy systems; Hardware; Information technology; Interpolation; MIMO; Parameter estimation; Performance analysis; fuzzy rule interpolation; rule base extension; rule base generation; sparse rule base;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
Conference_Location
Budapest
Print_ISBN
1-4244-1147-5
Electronic_ISBN
1-4244-1148-3
Type
conf
DOI
10.1109/INES.2007.4283680
Filename
4283680
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