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Fuzzy Models: Methodology, Design, Applications and Challenges

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Fuzzy Modelling

Part of the book series: International Series in Intelligent Technologies ((ISIT,volume 7))

Abstract

The essence of fuzzy modelling is concerned with constructing models that flexibly cope with heterogeneous data including those of linguistic and numerical character. In this study, we concentrate on the methodological principles guiding the development of fuzzy models, discuss their general topology and elaborate on selected algorithmic aspects. We also address several main design issues that are aimed at achieving information flexibility and versatility of the fuzzy models.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada, R3T 2N2

    Witold Pedrycz

Authors
  1. Witold Pedrycz
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, University of Manitoba, Winnipeg, R3T 2N2, Canada

    Witold Pedrycz

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© 1996 Kluwer Academic Publishers

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Pedrycz, W. (1996). Fuzzy Models: Methodology, Design, Applications and Challenges. In: Pedrycz, W. (eds) Fuzzy Modelling. International Series in Intelligent Technologies, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1365-6_1

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  • DOI: https://doi.org/10.1007/978-1-4613-1365-6_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8589-2

  • Online ISBN: 978-1-4613-1365-6

  • eBook Packages: Springer Book Archive

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