Skip to main content
SpringerLink
Log in

Construction of a fuzzy model with few examples

  • Conference paper
  • First Online:
Book cover Computational Intelligence Theory and Applications (Fuzzy Days 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1226))

Included in the following conference series:

  • 123 Accesses

Abstract

This article suggests an automatic initialization of a fuzzy rule basis from available numerical data, as well as two methods of extension allowing the incremental updating of the rule basis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Castro J.L., ”Fuzzy logic controllers are universal approximators”, IEEE Trans. on SMC, Vol. 25 n∘ 4, April 1995.

    Google Scholar 

  2. Sugeno M.,Yasukawa T. ”A Fuzzy-Logic-Based Approch to Qualitative Modeling”, IEEE Trans. on Fuzzy Systems, Vol 1 n∘ 1, February 1993.

    Google Scholar 

  3. Lutaud M. ”Identification et Contrôle de processus par Réseaux Neuro-Flous”, Thèse de Doctorat de l'Université d'Evry Val d'Essonne

    Google Scholar 

  4. Kóczy L.T., Kovács S., ”Linearity and the cnf property in linear fuzzy rule interpolation”, Proceedings of the Third IEEE International Conference on Fuzzy Systems, Orlando, pp. 870–875 (1994)

    Google Scholar 

  5. Takagi T., Sugeno M., ”Fuzzy identification of systems and its applications to modeling and control”, IEEE Trans. on SMC, SMC-15(1), Janv 1985.

    Google Scholar 

  6. Glorennec PY., ”Quelques aspects analytiques des systèmes d'inférence floue”, Journal Européen des Systèmes Automatisés, Vol. 30, n∘ 2–3, 1996.

    Google Scholar 

  7. Le Gruyer E., Archer JC., ”Stability and convergence of extension schemes to continuous functions in general metric spaces”, SIAM J. Math. Anal., Vol. 27, n∘ 1, 1996.

    Google Scholar 

  8. Hwang J.N., Lay S.R., Maechler M., Martin D., Schimert J., ”Regression modeling in backpropagation and projection pursuit learning”, IEEE Trans. Neural Networks, Vol. 5 n∘ 3, May 1994

    Google Scholar 

  9. G. Box, G. Jenkins, ”Time series analysis: forecasting and control” (Holden-Day, San Francisco, 1976).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Département d'Informatique, INSA de Rennes, France

    Farida Benmakrouha

Authors
  1. Farida Benmakrouha
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Bernd Reusch

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Benmakrouha, F. (1997). Construction of a fuzzy model with few examples. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_120

Download citation

  • DOI: https://doi.org/10.1007/3-540-62868-1_120

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62868-2

  • Online ISBN: 978-3-540-69031-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation