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Volumn 2, Issue , 2004, Pages 954-959

Genetic design of fuzzy knowledge bases - A study of different approaches

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; ELECTRICAL ENGINEERING; GENETIC ALGORITHMS; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING;

EID: 4544309661     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/nafips.2004.1337434     Document Type: Conference Paper
Times cited : (15)

References (23)
  • 2
    • 0037782746 scopus 로고    scopus 로고
    • Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems
    • O. Cordón and F. Herrera, "Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems", Fuzzy Sets and Systems, vol. 118, pp. 235-255, 2001.
    • (2001) Fuzzy Sets and Systems , vol.118 , pp. 235-255
    • Cordón, O.1    Herrera, F.2
  • 3
    • 0001703957 scopus 로고    scopus 로고
    • A neuro-fuzzy method to learn fuzzy classification rules from data
    • D. Nauck and R. Cruse, "A neuro-fuzzy method to learn fuzzy classification rules from data", Fuzzy Sets and Systems, vol. 89, pp. 277- 288, 1997.
    • (1997) Fuzzy Sets and Systems , vol.89 , pp. 277-288
    • Nauck, D.1    Cruse, R.2
  • 4
    • 0037448870 scopus 로고    scopus 로고
    • A fuzzy c-means variant for the generation of fuzzy term sets
    • T. W. Liao, Aivars K. Celmins and Robert J. Hammell, "A fuzzy c-means variant for the generation of fuzzy term sets", Fuzzy Sets and Systems, vol.135, pp. 241-257, 1997.
    • (1997) Fuzzy Sets and Systems , vol.135 , pp. 241-257
    • Liao, T.W.1    Celmins, A.K.2    Hammell, R.J.3
  • 7
    • 0000919523 scopus 로고    scopus 로고
    • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
    • H. Ishibuchi, T. Murata and I. B. Turksen, "Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems", Fuzzy Sets and Systems, vol. 89, pp.134-150, 1997.
    • (1997) Fuzzy Sets and Systems , vol.89 , pp. 134-150
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 8
    • 0030283584 scopus 로고    scopus 로고
    • A genetic algorithm for generating fuzzy classification rules
    • Y. Yuan and H. Zhuang, "A genetic algorithm for generating fuzzy classification rules", Fuzzy Sets and Systems, vol. 84, n. 4, pp. 1-19, 1996.
    • (1996) Fuzzy Sets and Systems , vol.84 , Issue.4 , pp. 1-19
    • Yuan, Y.1    Zhuang, H.2
  • 16
    • 0003408496 scopus 로고    scopus 로고
    • CA: University of California, Department of Information and Computer Science
    • C. L. Blake and C. J. Merz. UCI Repository of machine learning databases, Irvine, CA: University of California, Department of Information and Computer Science, [http://www.ics.uci.edu/~mlearn/MLRepository.html], 1998.
    • (1998) UCI Repository of Machine Learning Databases, Irvine
    • Blake, C.L.1    Merz, C.J.2
  • 20
    • 0035415952 scopus 로고    scopus 로고
    • Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
    • O. Cordon, F. Herrera and P. Villar, "Generating the knowledge base of a Fuzzy Rule-Based System by the Genetic Learning of the Data Base", IEEE Transactions on Fuzzy Systems, vol. 9, n.4, pp. 667-674, 2001.
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 667-674
    • Cordon, O.1    Herrera, F.2    Villar, P.3
  • 22
    • 0000938740 scopus 로고    scopus 로고
    • A learning process for fuzzy control rules using genetic algorithms
    • F. Herrera, M. Lozano and J. L. Verdegay, "A learning process for fuzzy control rules using genetic algorithms", Fuzzy Sets and Systems, vol. 100, pp. 143-158, 1998.
    • (1998) Fuzzy Sets and Systems , vol.100 , pp. 143-158
    • Herrera, F.1    Lozano, M.2    Verdegay, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.