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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 245))

Abstract

The major subject of this chapter is fuzzy control, one of the most successful application areas of fuzzy set theory. Nowadays, many fuzzy products are visible in the market. Almost every fuzzy product is related to a fuzzy control problem. It is no exaggeration to say that fuzzy set theory is highly accepted partly because of the great success of fuzzy control. Fuzzy controllers may vary substantially dependent on what control problem is to be solved. In this chapter, we just outline the principle of fuzzy control by a typical application case. Since fuzzy inference is the base of fuzzy control, some related concepts such as linguistic variables, hedges, fuzzy propositions, IF-THEN rules and special fuzzy inference approaches are briefly introduced. Considering that fuzzification and defuzzification (especially the latter) play an important role in the design of fuzzy controllers, they also are investigated in this chapter.

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© 2009 Springer-Verlag Berlin Heidelberg

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Wang, X., Ruan, D., Kerre, E.E. (2009). Fuzzy Inference and Fuzzy Control. In: Mathematics of Fuzziness – Basic Issues. Studies in Fuzziness and Soft Computing, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78311-4_6

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  • DOI: https://doi.org/10.1007/978-3-540-78311-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78310-7

  • Online ISBN: 978-3-540-78311-4

  • eBook Packages: EngineeringEngineering (R0)

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