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Volumn 36, Issue 13, 2005, Pages 845-854

A simple method for identification of singleton fuzzy models

Author keywords

Fuzzy model; Fuzzy sets; Indentification

Indexed keywords

LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; OPTIMIZATION;

EID: 30344432125     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207720500327436     Document Type: Article
Times cited : (2)

References (12)
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  • 2
    • 0031996730 scopus 로고    scopus 로고
    • Theoretical analysis of crisp-type fuzzy logic controllers using various t-norm-sum-gravity inference methods
    • C.L. Chen, S.N. Wang, C.T. Hseih and F.Y. Chang, "Theoretical analysis of crisp-type fuzzy logic controllers using various t-norm-sum-gravity inference methods", IEEE Trans. on Fuzzy Systems, 6, pp. 122-136, 1998.
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    • Chen, C.L.1    Wang, S.N.2    Hseih, C.T.3    Chang, F.Y.4
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    • (1986) Fuzzy Sets and Systems , vol.18 , pp. 329-346
    • Sugeno, M.1    Kang, G.T.2
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    • (1993) IEEE Trans. on Fuzzy Systems , vol.1 , pp. 7-31
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  • 8
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modelling and control
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  • 11
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    • A nonlinear fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller
    • H. Ying, "A nonlinear fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller", Automatica, 29, pp. 1185-1195, 1994.
    • (1994) Automatica , vol.29 , pp. 1185-1195
    • Ying, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.