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Transparent Fuzzy Systems in Modelling and Control

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Interpretability Issues in Fuzzy Modeling

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 128))

Abstract

This chapter deals with low-level transparency of fuzzy systems that is necessary to ensure reliable interpretation of linguistic information provided by fuzzy systems. It is shown that for different types of fuzzy systems different definitions of transparency apply. Particular attention is paid to transparency protection mechanisms for data-driven optimisation algorithms such as gradient descent and genetic algorithms that otherwise would destroy the semantics of fuzzy systems in the course of optimisation. The need for transparency in fuzzy control is discussed and further illustrated by a control application of truck backer-upper.

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Author information

Authors and Affiliations

  1. Department of Computer Control, Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia

    Andri Riid & Ennu Rüstern

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  1. Andri Riid
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  2. Ennu Rüstern
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Editor information

Editors and Affiliations

  1. Dpto. Ciencias de la Computación e Inteligencia Artificial, Escuela Técnica Superior de Ingeniería Informática, Universidad de Granada, E - 18071, Granada, Spain

    Jorge Casillas , Oscar Cordón  & Francisco Herrera ,  & 

  2. Dpto. Matemáticas Aplicadas a las Tecnologías de la Información, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, E - 28040, Madrid, Spain

    Luis Magdalena

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© 2003 Springer-Verlag Berlin Heidelberg

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Riid, A., Rüstern, E. (2003). Transparent Fuzzy Systems in Modelling and Control. In: Casillas, J., Cordón, O., Herrera, F., Magdalena, L. (eds) Interpretability Issues in Fuzzy Modeling. Studies in Fuzziness and Soft Computing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37057-4_19

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  • DOI: https://doi.org/10.1007/978-3-540-37057-4_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05702-1

  • Online ISBN: 978-3-540-37057-4

  • eBook Packages: Springer Book Archive

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