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Volumn 2, Issue , 2002, Pages 1438-1443

Learning fuzzy rules from incomplete quantitative data by rough sets

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INCOMPLETE QUANTITATIVE DATA SETS; LEARNING FUZZY RULES;

EID: 0036454229     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (24)
  • 4
    • 0004146647 scopus 로고
    • Expert systems - Knowledge, uncertainty and decision
    • (Chapman and Computing, Boston)
    • I. Graham and P. L. Jones, Expert Systems - Knowledge, Uncertainty and Decision (Chapman and Computing, Boston, 1988) 117-158.
    • (1988) , pp. 117-158
    • Graham, I.1    Jones, P.L.2
  • 5
    • 0001905486 scopus 로고
    • Knowledge acquisition under uncertainty: A rough set approach
    • J. W. Grzymala-Busse, "Knowledge acquisition under uncertainty: A rough set approach," Journal of Intelligent Robotic Systems, Vol. 1, 1988, pp. 3-16.
    • (1988) Journal of Intelligent Robotic Systems , vol.1 , pp. 3-16
    • Grzymala-Busse, J.W.1
  • 6
    • 0000742181 scopus 로고    scopus 로고
    • Knowledge acquisition from quantitative data using the rough-set theory
    • T. P. Hong, T. T. Wang and S. L. Wang, "Knowledge acquisition from quantitative data using the rough-set theory," Intelligent Data Analysis, Vol. 4, 2000, pp. 289-304.
    • (2000) Intelligent Data Analysis , vol.4 , pp. 289-304
    • Hong, T.P.1    Wang, T.T.2    Wang, S.L.3
  • 8
    • 0033130756 scopus 로고    scopus 로고
    • Finding relevant attributes and membership functions
    • T. P. Hong and J. B. Chen, "Finding relevant attributes and membership functions," Fuzzy Sets and Systems, Vol. 103, No. 3, 1999, pp.389-404.
    • (1999) Fuzzy Sets and Systems , vol.103 , Issue.3 , pp. 389-404
    • Hong, T.P.1    Chen, J.B.2
  • 9
    • 0031094448 scopus 로고    scopus 로고
    • A generalized version space learning algorithm for noisy and uncertain data
    • T. P. Hong and S. S. Tseng, "A generalized version space learning algorithm for noisy and uncertain data," IEEE Transactions on Knowledge and Data Engineering, Vol. 9, No. 2, 1997, pp. 336-340.
    • (1997) IEEE Transactions on Knowledge and Data Engineering , vol.9 , Issue.2 , pp. 336-340
    • Hong, T.P.1    Tseng, S.S.2
  • 11
    • 0032294902 scopus 로고    scopus 로고
    • Rough set approach to incomplete information systems
    • M. Kryszkiewicz, "Rough set approach to incomplete information systems," Information Science, Vol. 112, 1998, pp. 39-49.
    • (1998) Information Science , vol.112 , pp. 39-49
    • Kryszkiewicz, M.1
  • 15
    • 0002265912 scopus 로고
    • Reasoning with incomplete information: Rough set based information logics
    • New York: Springer-Verlag
    • E. Orlowska, "Reasoning with incomplete information: rough set based information logics," Incompleteness and Uncertainty in Information Systems, New York: Springer-Verlag, 1994, pp. 16-33.
    • (1994) Incompleteness and Uncertainty in Information Systems , pp. 16-33
    • Orlowska, E.1
  • 18
    • 0024886040 scopus 로고
    • Rough classification in incomplete information systems
    • R. Slowinski and J. Stefanowski, "Rough classification in incomplete information systems," Mathematical and Computer Modelling, Vol. 12, 1989, pp. 1347-1357.
    • (1989) Mathematical and Computer Modelling , vol.12 , pp. 1347-1357
    • Slowinski, R.1    Stefanowski, J.2
  • 24
    • 0003791192 scopus 로고
    • Fuzzy set theory and its applications
    • Kluwer Academic Publisher, Boston
    • H. J. Zimmermann, "Fuzzy set theory and its applications", Kluwer Academic Publisher, Boston, 1991.
    • (1991)
    • Zimmermann, H.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.