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Volumn 98, Issue 1, 1998, Pages 43-56

Improving the fuzzy system performance by fuzzy system ensemble

Author keywords

Fuzzy control; Fuzzy system ensemble; Genetic algorithm; Multiple criteria optimization; Statistical methods

Indexed keywords


EID: 0006640241     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(96)00356-9     Document Type: Article
Times cited : (22)

References (14)
  • 1
    • 0020970738 scopus 로고
    • Neuronlike adaptive elements that can solve difficult learning control problems
    • A.C. Barto, R.S. Sutton and C.W. Andersen, Neuronlike adaptive elements that can solve difficult learning control problems, IEEE Trans. on System Man Cybernet. 13 (1983) 834-846.
    • (1983) IEEE Trans. on System Man Cybernet. , vol.13 , pp. 834-846
    • Barto, A.C.1    Sutton, R.S.2    Andersen, C.W.3
  • 4
    • 0002819121 scopus 로고
    • A comparative analysis of selection schemes used in genetic algorithms
    • Gregory and J.E Rawlins, Eds., Morgan Kaufmann, San Mateo
    • D.E. Goldberg and K. Deb, A comparative analysis of selection schemes used in genetic algorithms, in: Gregory and J.E Rawlins, Eds., Fundamental of Genetic Algorithms (Morgan Kaufmann, San Mateo, 1991) 69-93.
    • (1991) Fundamental of Genetic Algorithms , pp. 69-93
    • Goldberg, D.E.1    Deb, K.2
  • 7
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • J.R. Jang, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. System Man Cybernet. 23 (1993) 665-685.
    • (1993) IEEE Trans. System Man Cybernet. , vol.23 , pp. 665-685
    • Jang, J.R.1
  • 9
    • 0027224649 scopus 로고
    • Integrating design stages of fuzzy systems using genetic algorithms
    • M.A. Lee and H. Takagi, Integrating design stages of fuzzy systems using genetic algorithms, IEEE 2nd Internat Conf. on Fuzzy Systems (1993) 612-617.
    • (1993) IEEE 2nd Internat Conf. on Fuzzy Systems , pp. 612-617
    • Lee, M.A.1    Takagi, H.2
  • 12
    • 0003329936 scopus 로고
    • Generating fuzzy rules from numerical data, with applications
    • L.X. Wang and J.M. Mendel, Generating fuzzy rules from numerical data, with applications, USC-SIPI Report, 169 (1991).
    • (1991) USC-SIPI Report , vol.169
    • Wang, L.X.1    Mendel, J.M.2
  • 13
    • 0026943536 scopus 로고
    • Generating fuzzy rules by learning from examples
    • L.X. Wang and J.M. Mendel, Generating fuzzy rules by learning from examples, IEEE Trans. System Man Cybernet. 22 (1992) 1414-1427.
    • (1992) IEEE Trans. System Man Cybernet. , vol.22 , pp. 1414-1427
    • Wang, L.X.1    Mendel, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.