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Generation of Takagi-Sugeno fuzzy systems with minimum rules in modeling and identification
Hu C.; Wan F.
2011-09-27
Conference NameIEEE International Conference on Fuzzy Systems (FUZZ 2011)
Source PublicationIEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011)
Pages1910-1917
Conference DateJUN 27-30, 2011
Conference PlaceTaipei, TAIWAN
Abstract

An improvement is presented for the tunnel algorithm introduced in [17] for determining the minimum number of rules required by a fuzzy system for modeling and identification in the SISO case. The original tunnel algorithm can deal with only Mamdani type fuzzy systems, while the Testing Point algorithm proposed in this paper, can be used to construct Takagi-Sugeno type fuzzy systems with consequent parts of any order and has the potential to be further extended to the MISO case. Numerical examples are given to illustrate the idea and improvement. 

KeywordFuzzy Modeling And Identification Rule Reduction Takagi-sugeno Fuzzy Systems
DOI10.1109/FUZZY.2011.6007695
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000295224300288
Scopus ID2-s2.0-80053062801
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Corresponding AuthorWan F.
AffiliationUniversidade de Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Hu C.,Wan F.. Generation of Takagi-Sugeno fuzzy systems with minimum rules in modeling and identification[C], 2011, 1910-1917.
APA Hu C.., & Wan F. (2011). Generation of Takagi-Sugeno fuzzy systems with minimum rules in modeling and identification. IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 1910-1917.
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