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Fuzzy Logic

  • Michael Paluszek
  • Stephanie Thomas
Chapter

Abstract

Fuzzy logic [26] is an alternative approach to control system design. Fuzzy logic works within the framework of set theory and is better at dealing with ambiguities. For example, three sets may be defined for a sensor: hard failure, soft failure, and no failure. The three sets may overlap and at any given time the sensor may have a degree of membership in each set. The degree of membership in each set can be used to determine what action to take. An algorithmic approach would have to assign a number to the state of the sensor. This could be problematic and not necessarily represent the actual state of the system. In effect, you would be applying a degree of fuzziness.

References

  1. 7.
    Ka Cheok et al. Fuzzy Logic-Based Smart Automatic Windshield Wiper. IEEE Control Systems, December 1996.Google Scholar
  2. 26.
    K Terano, Asai T., and M. Sugeno. Fuzzy Systems Theory and Its Applications. Academic Press, 1992.Google Scholar

Copyright information

© Michael Paluszek and Stephanie Thomas  2019

Authors and Affiliations

  • Michael Paluszek
    • 1
  • Stephanie Thomas
    • 1
  1. 1.PlainsboroUSA

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