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Interpretability of Fuzzy Systems

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Fuzzy Logic and Applications (WILF 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8256))

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Abstract

Fuzzy systems are convenient tools for modelling complex phenomena because they are capable of conjugating a non-linear behaviour with a transparent description of knowledge in terms of linguistic rules. In many real-world applications, fuzzy systems are designed through data-driven design techniques which, however, often carry out precise systems that are not endowed with knowledge that is interpretable, i.e. easy to read and understand. In a nutshell, interpretability is not granted by the mere adoption of fuzzy logic, this representing a necessary yet not a sufficient requirement for modelling and processing linguistic knowledge. Furthermore, interpretability is a quality that is not easy to define and quantify. Therefore, several open and challenging questions arise while considering interpretability in the design of fuzzy systems, which are briefly considered in this paper along with some answers on the basis of the current state of research.

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Author information

Authors and Affiliations

  1. University of Bari “A. Moro”, Italy

    Corrado Mencar

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  1. Corrado Mencar
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Editors and Affiliations

  1. DIBRIS, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy

    Francesco Masulli

  2. Dept. of Informatics, Systems, and Communication, University of Milano Bicocca, Viale Sarca 336, 20126, Milan, Italy

    Gabriella Pasi

  3. Dept. of Information Systems, Iona College, 710 North Ave, 10801, New Rochelle, NY, USA

    Ronald Yager

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Mencar, C. (2013). Interpretability of Fuzzy Systems. In: Masulli, F., Pasi, G., Yager, R. (eds) Fuzzy Logic and Applications. WILF 2013. Lecture Notes in Computer Science(), vol 8256. Springer, Cham. https://doi.org/10.1007/978-3-319-03200-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-03200-9_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03199-6

  • Online ISBN: 978-3-319-03200-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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