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Design of Interpretable Fuzzy Systems pp 27–36Cite as

Introduction to Fuzzy System Interpretability

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 684))

Abstract

In general terms interpretability is a feature of a certain phenomenon, which facilitates its interpretation. This notion as such is imprecise because there are no commonly known solutions making it possible to unambiguously determine whether, for example, a fuzzy system is (and in particular its rules are) interpretable. The word “interpretability” could actually be substituted with a synonymous word of “readability”. Of course, verification of interpretability also heavily depends on the initial knowledge and the basic cognitive structures, which are imagination and intelligence. This additionally complicates considerations from the field of interpretability making it still an open issue. Despite this fact, interpretability is important because it increases reliability and simplifies operation, allows us to refer the operation to the current state of knowledge, allows us to eliminate errors and inconsistencies in the operation, allows us to adapt to changing working conditions, etc.

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  1. Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

    Krzysztof Cpałka

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Cpałka, K. (2017). Introduction to Fuzzy System Interpretability. In: Design of Interpretable Fuzzy Systems. Studies in Computational Intelligence, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-319-52881-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-52881-6_3

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