Clustering Methods in Fuzzy Control

  • F. Klawonn
  • R. Kruse
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


Fuzzy controllers can be interpreted as an interpolation technique on the basis of fuzzy clusters of input/output pairs. It is therefore obvious that fuzzy clustering algorithms are a promising tool for supporting the design of a fuzzy controller when data of the process to be controlled are available.

This paper discusses the possibilities and limitations of fuzzy clustering for fuzzy control


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Copyright information

© Springer-Verlag Berlin · Heidelberg 1996

Authors and Affiliations

  • F. Klawonn
    • 1
  • R. Kruse
    • 1
  1. 1.Department of Computer ScienceUniversity of BraunschweigBraunschweigGermany

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