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Fuzzy Models: Methodology, Design, Applications and Challenges

  • Witold Pedrycz
Chapter
Part of the International Series in Intelligent Technologies book series (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.

Keywords

Fuzzy Number Fuzzy System Fuzzy Model Linguistic Term Fuzzy Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • Witold Pedrycz
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of ManitobaWinnipegCanada

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