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Volumn , Issue , 2004, Pages 623-628

Genetic learning and optimization of fuzzy sets in fuzzy rule-based system

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; PROBLEM SOLVING;

EID: 16244383559     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (27)
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  • 3
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    • A fuzzy c-means variant for the generation of fuzzy term sets
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    • (1997) Fuzzy Sets and Systems , pp. 241-257
    • Liao, T.W.1    Celmins, A.K.2    Hammell, R.J.3
  • 6
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    • 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, 1997, pp.134-150.
    • (1997) Fuzzy Sets and Systems , pp. 134-150
    • Ishibuchi, H.1    Murata, T.2    Turksen, I.B.3
  • 8
    • 0031268161 scopus 로고    scopus 로고
    • A Three-stage evolutionary process for learning descriptive and approximate fuzzy logic controller knowledge bases from examples
    • O. Cordón, F. Herrera, "A Three-stage Evolutionary Process for Learning Descriptive and Approximate Fuzzy Logic Controller Knowledge Bases from Examples", International Journal of Approximate Reasoning, 1997, pp.369-407.
    • (1997) International Journal of Approximate Reasoning , pp. 369-407
    • Cordón, O.1    Herrera, F.2
  • 11
    • 0001899537 scopus 로고    scopus 로고
    • Evolutionary learning of fuzzy rules: Competition and cooperation
    • W. Pedrycz editor, Kluwer Academic Press, Norwell - MA
    • A. Bonarini, "Evolutionary Learning of Fuzzy Rules: Competition and Cooperation", Fuzzy Modelling: Paradigms and Practice, In W. Pedrycz editor, Kluwer Academic Press, Norwell - MA, 1996, pp.265-284.
    • (1996) Fuzzy Modelling: Paradigms and Practice , pp. 265-284
    • Bonarini, A.1
  • 12
    • 0032597810 scopus 로고    scopus 로고
    • Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
    • Man and Cybernetics
    • H. Ishibuchi, T. Nakashima, T. Murata, "Performance Evaluation of Fuzzy Classifier Systems for Multidimensional Pattern Classification Problems", IEEE Transaction on Systems, Man and Cybernetics, 1999, pp.601-618.
    • (1999) IEEE Transaction on Systems , pp. 601-618
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 13
    • 0033116171 scopus 로고    scopus 로고
    • SLAVE: A genetic learning system based on an iterative approach
    • A. Gonzalez, R. Pérez, "SLAVE: A Genetic Learning System Based on an Iterative Approach", IEEE Transaction on Fuzzy Systems, 1999, pp. 176-191.
    • (1999) IEEE Transaction on Fuzzy Systems , pp. 176-191
    • Gonzalez, A.1    Pérez, R.2
  • 14
    • 84866478548 scopus 로고    scopus 로고
    • A methodology to improve ad hoc data-driven linguistic rule learning methods by induncing cooperation among rules
    • University of Granada - Spain
    • J. Casillas, O. Cordón, F. Herrera, "A Methodology to Improve ad hoc Data-Driven Linguistic Rule Learning Methods by Induncing Cooperation Among Rules", Technical Report #DECSAI-000 101, University of Granada - Spain, 2000.
    • (2000) Technical Report #DECSAI-000 101 , vol.DECSAI-000 101
    • Casillas, J.1    Cordón, O.2    Herrera, F.3
  • 17
    • 0002526270 scopus 로고    scopus 로고
    • A genetic algorithm to support learning fuzzy control rules from examples
    • F. Herrera and J. L. Verdegay, Eds: Physica-Verlag
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    • Filipic, B.1    Juricic, D.2
  • 18
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    • H. A. Camargo, M.G. Pires, P. A. D. Castro, "Genetic Design of Fuzzy Knowledge Bases - a study of different approaches". 23rd NAFIPS International Conference, Alberta-Canadá, 2004 (accpeted for publication).
    • (2004) 23rd NAFIPS International Conference
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  • 21
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    • Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
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    • (2001) IEEE Transactions on Fuzzy Systems , pp. 667-674
    • Cordón, O.1    Herrera, F.2    Villar, P.3
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    • Blake, C.L.1    Merz, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.