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Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment

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Fuzzy Logic and Applications (WILF 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6857))

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Abstract

Looking for a good interpretability-accuracy trade-off is one of the most challenging tasks on fuzzy modelling. Indeed, interpretability is acknowledged as a distinguishing capability of linguistic fuzzy systems since the proposal of Zadeh and Mamdani’s seminal ideas. Anyway, obtaining interpretable fuzzy systems is not straightforward. It becomes a matter of careful design which must cover several abstraction levels. Namely, from the design of each individual linguistic term (and its related fuzzy set) to the analysis of the cooperation among several rules, what depends on the fuzzy inference mechanism. This work gives an overview on existing tools for fuzzy system modelling. Moreover, it introduces GUAJE which is an open-source free-software java environment for building understandable and accurate fuzzy rule-based systems by means of combining several pre-existing tools.

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Authors and Affiliations

  1. European Centre for Soft Computing, Mieres, 33600, Spain

    J. M. Alonso & L. Magdalena

Authors
  1. J. M. Alonso
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  2. L. Magdalena
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Editor information

Editors and Affiliations

  1. Computer Science Department, University of Bari, Via E. Orabona, 4, 70125, Bari, Italy

    Anna Maria Fanelli

  2. Department of Electrical and Computer Engineering, University of Alberta, T6G 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

  3. Department of Apllied Science, University of Naples Parthenope, Centro Direzionale Is. C4, 80143, Naples, Italy

    Alfredo Petrosino

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Alonso, J.M., Magdalena, L. (2011). Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment. In: Fanelli, A.M., Pedrycz, W., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2011. Lecture Notes in Computer Science(), vol 6857. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23713-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-23713-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23712-6

  • Online ISBN: 978-3-642-23713-3

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