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Volumn 104, Issue 2, 1999, Pages 183-197

Simplifying fuzzy modeling by both gray relational analysis and data transformation methods

Author keywords

Fuzzy modeling; Gradient descent method; Gray relational analysis; Membership functions; Structure and parameter identifications

Indexed keywords


EID: 0040964890     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0165-0114(97)00212-1     Document Type: Article
Times cited : (28)

References (12)
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  • 2
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    • Introduction to gray system theory
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    • Deng, J.L.1
  • 3
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    • Guely, F.1    Siarry, P.2
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    • Homaifar, A.1    McCormick, E.2
  • 5
    • 0030086103 scopus 로고    scopus 로고
    • The integration and application of fuzzy and gray modeling methods
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    • (1996) Fuzzy Sets and Systems , vol.78 , Issue.1 , pp. 107-119
    • Huang, Y.-P.1    Huang, C.-C.2
  • 6
  • 7
    • 0026998481 scopus 로고
    • A learning method of fuzzy inference rules by descent method
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    • Nomura, H.1    Hayashi, I.2    Wakami, N.3
  • 9
    • 0029296855 scopus 로고
    • Self-tuning fuzzy modeling with adaptive membership function, rules, and hierarchical structure based on genetic algorithm
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    • (1995) Fuzzy Sets and Systems , vol.71 , pp. 295-309
    • Shirnojima, K.1    Fukuda, T.2    Hasegawa, Y.3
  • 10
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
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    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.1 , pp. 7-31
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  • 11
    • 0021892282 scopus 로고
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  • 12
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
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    • Wang, L.-X.1    Mendel, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.