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Evolution of Fuzzy Logic: From Intelligent Systems and Computation to Human Mind

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Forging New Frontiers: Fuzzy Pioneers I

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 217))

Abstract

Inspired by human’s remarkable capability to perform a wide variety of physical and mental tasks without any measurements and computations and dissatisfied with classical logic as a tool for modeling human reasoning in an imprecise environment, Lotfi A. Zadeh developed the theory and foundation of fuzzy logic with his 1965 paper “Fuzzy Sets” [1] and extended his work with his 2005 paper “Toward a Generalized Theory of Uncertainty (GTU)—An Outline” [2]. Fuzzy logic has at least two main sources over the past century. The first of these sources was initiated by Peirce in the form what he called a logic of vagueness in 1900s, and the second source is Lotfi’s A. Zadeh work, fuzzy sets and fuzzy Logic in the 1960s and 1970s.

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Nikravesh, M. (2007). Evolution of Fuzzy Logic: From Intelligent Systems and Computation to Human Mind. In: Nikravesh, M., Kacprzyk, J., Zadeh, L.A. (eds) Forging New Frontiers: Fuzzy Pioneers I. Studies in Fuzziness and Soft Computing, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73182-5_3

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  • DOI: https://doi.org/10.1007/978-3-540-73182-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73181-8

  • Online ISBN: 978-3-540-73182-5

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