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Fuzzy Modeling and Control

  • Book
  • © 2001

Overview

Authors:
  1. Andrzej Piegat

    1. Faculty of Computer Science and Information Systems, Technical University of Szczecin, Szczecin, Poland

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  • Survey of effective methods used today in fuzzy modeling and control by means of geometric bodies and surfaces, enabling the reader to use them in construction of own algorithms
  • Problem vizualization by over 640 illustrations and numerous examples
  • Includes new results and methods
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 69)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Introduction

    • Andrzej Piegat
    Pages 1-10

  3. Basic Notions of Fizzy Set Theory

    • Andrzej Piegat
    Pages 11-58

  4. Arithmetic of Fuzzy Sets

    • Andrzej Piegat
    Pages 59-109

  5. Mathematics of Fuzzy Sets

    • Andrzej Piegat
    Pages 111-155

  6. Fuzzy Models

    • Andrzej Piegat
    Pages 157-361

  7. Methods of Fuzzy Modeling

    • Andrzej Piegat
    Pages 363-494

  8. Fuzzy Control

    • Andrzej Piegat
    Pages 495-607

  9. The Stability of Fuzzy Control Systems

    • Andrzej Piegat
    Pages 609-704

  10. Back Matter

    Pages 705-728
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Keywords

About this book

In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.

Authors and Affiliations

  • Faculty of Computer Science and Information Systems, Technical University of Szczecin, Szczecin, Poland

    Andrzej Piegat

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