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Volumn , Issue , 2006, Pages 66-71

Rule visualization based on multi-dimensional scaling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; DATA STRUCTURES; REAL TIME SYSTEMS;

EID: 34250717328     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681696     Document Type: Conference Paper
Times cited : (11)

References (22)
  • 1
    • 0029242750 scopus 로고
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    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.1 , pp. 18-28
    • Abe, S.1    Lan, M.-S.2
  • 2
    • 0003766029 scopus 로고    scopus 로고
    • M. R. Berthold and D. J. Hand, editors, Springer Verlag
    • M. R. Berthold and D. J. Hand, editors. Intelligent Data Analysis: An Introduction. Springer Verlag, 2003.
    • (2003) Intelligent Data Analysis: An Introduction
  • 5
    • 0033680876 scopus 로고    scopus 로고
    • Visualizing high dimensional fuzzy rules
    • IEEE Press
    • M. R. Berthold and R. Holve. Visualizing high dimensional fuzzy rules. In Proceedings of NAFIPS, pages 64-68. IEEE Press, 2000.
    • (2000) Proceedings of NAFIPS , pp. 64-68
    • Berthold, M.R.1    Holve, R.2
  • 9
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • John Wiley, NY
    • R. A. Fisher. The use of multiple measurements in taxonomic problems. In Annual Eugenics, II, 7, pages 179-188. John Wiley, NY, 1950.
    • (1950) Annual Eugenics, II , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 11
    • 0019196555 scopus 로고
    • Phyto-plankton pigments derived from the nimbus-7 czcs: Comparisons with surface measurements
    • H. R. Gordon, D. K. Clark, J. L. Mueller, and W. A. Hovis. Phyto-plankton pigments derived from the nimbus-7 czcs: comparisons with surface measurements. Science, 210:63-66, 1980.
    • (1980) Science , vol.210 , pp. 63-66
    • Gordon, H.R.1    Clark, D.K.2    Mueller, J.L.3    Hovis, W.A.4
  • 12
    • 0001126591 scopus 로고
    • Learning fuzzy rule-based neural networks for control
    • Morgan Kaufmann, California
    • C. M. Higgins and R. M. Goodman. Learning fuzzy rule-based neural networks for control. In Advances in Neural Information Processing Systems, 5, pages 350-357, Morgan Kaufmann, California, 1993.
    • (1993) Advances in Neural Information Processing Systems , vol.5 , pp. 350-357
    • Higgins, C.M.1    Goodman, R.M.2
  • 14
    • 0003612091 scopus 로고
    • D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors, Ellis Horwood Limited
    • D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors. Machine Learning, Neural and Statistical Classification. Ellis Horwood Limited, 1994.
    • (1994) Machine Learning, Neural and Statistical Classification
  • 15
    • 0026156490 scopus 로고
    • A nearest hyperrectangle learning method
    • S. Salzberg. A nearest hyperrectangle learning method. In Machine Learning, 6, pages 251-276, 1991.
    • (1991) Machine Learning , vol.6 , pp. 251-276
    • Salzberg, S.1
  • 16
    • 84887006810 scopus 로고
    • A non-linear mapping for data structure analysis
    • May
    • J. W. Sammon, Jr. A non-linear mapping for data structure analysis. IEEE Transactions on Computers, C18 (5):401-409, May 1969.
    • (1969) IEEE Transactions on Computers , vol.C18 , Issue.5 , pp. 401-409
    • Sammon Jr., J.W.1
  • 17
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    • Fuzzy min-max neural networks - part 1: Classification
    • Sept
    • P. K. Simpson. Fuzzy min-max neural networks - part 1: Classification. IEEE Transactions on Neural Networks, 3(5):776-786, Sept. 1992.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 776-786
    • Simpson, P.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.