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An Overview of Fuzzy Control Theory

  • Chapter
Foundations of Generic Optimization

Part of the book series: Mathematical Modelling: Theory and Applications ((MMTA,volume 24))

Abstract

This chapter may serve as an introductory article, and is meant to give an overview of the mathematical methods applied in fuzzy control techniques, such as fuzzification, aggregation and defuzzification. We will also discuss the advantages and disadvantages of the several techniques, with respect to the achievability of their goals, and we will give a brief overview of “hybrid techniques”, techniques that involves fuzzy control as well as other artificial intelligent computing methods, such as neural networks and genetic algorithms.

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  1. Dept. of Mathematics and Computer Science, University of Antwerp, Middelheimlaan 1, B-2020, Antwerp, Belgium

    Werner Peeters

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Peeters, W. (2008). An Overview of Fuzzy Control Theory. In: Lowen, R., Verschoren, A. (eds) Foundations of Generic Optimization. Mathematical Modelling: Theory and Applications, vol 24. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6668-9_1

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