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Volumn 1, Issue , 2003, Pages 749-754

Deriving fuzzy discretization from interval discretization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; SONAR; VECTORS;

EID: 0038537380     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 2
    • 0032595775 scopus 로고    scopus 로고
    • General and efficient multisplitting of numerical attributes
    • T. Elomaa and J. Rousu, "General and efficient multisplitting of numerical attributes," Machine Learning 36, 201-244, 1999.
    • (1999) Machine Learning , vol.36 , pp. 201-244
    • Elomaa, T.1    Rousu, J.2
  • 5
    • 0035897955 scopus 로고    scopus 로고
    • Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
    • L. Castillo, A. Gonzalez, and R. Perez, "Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm," Fuzzy Sets and Systems 120, 309-321, 2001.
    • (2001) Fuzzy Sets and Systems , vol.120 , pp. 309-321
    • Castillo, L.1    Gonzalez, A.2    Perez, R.3
  • 6
    • 0035501966 scopus 로고    scopus 로고
    • Use of a fuzzy machine learning technique in the knowledge acquisition process
    • L. Castro, J. J. Castro-Schez, and J. M. Zurita, "Use of a fuzzy machine learning technique in the knowledge acquisition process," Fuzzy Sets and Systems 123, 307-320, 2001.
    • (2001) Fuzzy Sets and Systems , vol.123 , pp. 307-320
    • Castro, L.1    Castro-Schez, J.J.2    Zurita, J.M.3
  • 7
    • 0035426683 scopus 로고    scopus 로고
    • Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
    • J. Casillas, 0. Cordon, M. J. Del Jesus, and F. Herrera, "Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems," Information Sciences 136, 135-157, 2001.
    • (2001) Information Sciences , vol.136 , pp. 135-157
    • Casillas, J.1    Cordon, O.2    Del Jesus, M.J.3    Herrera, F.4
  • 9
    • 0002197262 scopus 로고
    • Distributed representation of fuzzy rules and its application to pattern classification
    • H. Ishibuchi, K. Nozaki, and H. Tanaka, "Distributed representation of fuzzy rules and its application to pattern classification," Fuzzy Sets and Systems 52, 21-32, 1992.
    • (1992) Fuzzy Sets and Systems , vol.52 , pp. 21-32
    • Ishibuchi, H.1    Nozaki, K.2    Tanaka, H.3
  • 10
    • 0035415473 scopus 로고    scopus 로고
    • Effect of rule weights in fuzzy rule-based classification systems
    • H. Ishibuchi and T. Nakashima, "Effect of rule weights in fuzzy rule-based classification systems," IEEE Trans, on Fuzzy Systems 9, 506-515, 2001.
    • (2001) IEEE Trans, on Fuzzy Systems , vol.9 , pp. 506-515
    • Ishibuchi, H.1    Nakashima, T.2
  • 12
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • U. M. Fayyad et al.(eds.): AAAI Press, Metro Park
    • R. Agrawal et al., "Fast discovery of association rules," in U. M. Fayyad et al.(eds.): Advances in Knowledge Discovery and Data Mining, AAAI Press, Metro Park, 307-328, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Agrawal, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.