Interpolation and approximation of real input-output functions using fuzzy rule bases

Peter Bauer, Erich Klement, Albert Leikermoser, Bernhard Moser

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

It is shown how fuzzy controllers, in particular the Mamdani and Sugeno controller, can be used to interpolate and approximate control functions, i.e., input-output functions which assign to each input value a real output value.
Original languageEnglish
Title of host publicationFuzzy Systems in Computer Science
Number of pages10
Publication statusPublished - 1994

Fields of science

  • 101 Mathematics
  • 101004 Biomathematics
  • 101027 Dynamical systems
  • 101013 Mathematical logic
  • 101028 Mathematical modelling
  • 101014 Numerical mathematics
  • 101020 Technical mathematics
  • 101024 Probability theory
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102009 Computer simulation
  • 102019 Machine learning
  • 102023 Supercomputing
  • 202027 Mechatronics
  • 206001 Biomedical engineering
  • 206003 Medical physics
  • 102035 Data science

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