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Volumn 1898, Issue , 2000, Pages 285-296

Maintaining case-based reasoning systems using fuzzy decision trees1

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; LEARNING SYSTEMS; TREES (MATHEMATICS);

EID: 84948144350     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44527-7_25     Document Type: Conference Paper
Times cited : (23)

References (14)
  • 2
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    • Pattern recognition with fuzzy objective function algorithms
    • NewYork
    • Bezdek, J. C., “Pattern recognition with fuzzy objective function algorithms,” Plenum, NewYork, 1981.
    • (1981) Plenum
    • Bezdek, J.C.1
  • 3
    • 84927520900 scopus 로고    scopus 로고
    • Boston Housing Data, UCI ML Repository, www.ics.uci.edu/~mlearn/MLRepository.html
    • UCI ML Repository
  • 4
    • 38249008055 scopus 로고
    • An algorithm for computing the transitive closure of a similarity matrix
    • Fu, G., “An algorithm for computing the transitive closure of a similarity matrix,” Fuzzy Sets and Systems, vol. 51, pp. 189-194, 1992.
    • (1992) Fuzzy Sets and Systems , vol.51 , pp. 189-194
    • Fu, G.1
  • 6
    • 16344385129 scopus 로고    scopus 로고
    • Neuro-fuzzy ID3
    • Ichihashi, H. et al., “Neuro-fuzzy ID3,” in Fuzzy Sets and Systems vol. 81, pp.157-167, 1996.
    • (1996) Fuzzy Sets and Systems , vol.81 , pp. 157-167
    • Ichihashi, H.1
  • 7
    • 0031249032 scopus 로고    scopus 로고
    • FILM: A fuzzy inductive learning method for automated knowledge acquisition
    • Jeng, B. et al., “FILM: a fuzzy inductive learning method for automated knowledge acquisition,” in Decision Support Systems, vol. 21, pp. 61-73, 1997.
    • (1997) Decision Support Systems , vol.21 , pp. 61-73
    • Jeng, B.1
  • 10
    • 0000864293 scopus 로고    scopus 로고
    • A simple but powerful heuristic method for generating fuzzy rules from numerical data
    • Nozaki, K., Ishibuchi, H. and Tanaka, H, “A simple but powerful heuristic method for generating fuzzy rules from numerical data,” in Fuzzy Sets and Systems, FSS 86(1997), pp. 251-270.
    • (1997) In Fuzzy Sets and Systems, FSS , vol.86 , pp. 251-270
    • Nozaki, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 11
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J. R., “Induction of decision trees”, Machine Learning, vol. 1, pp.81-106, 1986.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 14
    • 0028746080 scopus 로고
    • Fuzzy decision trees by fuzzy ID3 algorithm and its application to diagnosis systems
    • 26-29 June
    • Umanol, M. et al., “Fuzzy decision trees by fuzzy ID3 algorithm and its application to diagnosis systems,” in IEEE International Conference on Fuzzy Systems, (26-29 June 1994), pp. 2113-2118.
    • (1994) IEEE International Conference on Fuzzy Systems , pp. 2113-2118
    • Umanol, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.