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Similarity and Implication between Fuzzy Sets

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Book cover Combining Experimentation and Theory

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 271))

Abstract

The pioneering work of Mamdani and Assilian [9] was the first practical application of a number of concepts from fuzzy-set theory [12] and fuzzy logic [15] to the solution of a family of important control problems. Inspired by ongoing developments in artificial intelligence [7], this work reported on the successful application of fuzzyset based generalizations of conventional logic, such as Zadeh’s compositional rule of inference [14], to the inferential derivation of measures of control adequacy.

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References

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Correspondence to Enrique H. Ruspini .

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Ruspini, E.H. (2012). Similarity and Implication between Fuzzy Sets. In: Trillas, E., Bonissone, P., Magdalena, L., Kacprzyk, J. (eds) Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24666-1_17

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  • DOI: https://doi.org/10.1007/978-3-642-24666-1_17

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