First Course on Fuzzy Theory and Applications

  • Kwang H. Lee

Part of the Advances in Soft Computing book series (AINSC, volume 27)

Table of contents

  1. Front Matter
    Pages I-X
  2. Pages 1-25
  3. Pages 129-151
  4. Pages 153-170
  5. Pages 193-216
  6. Pages 217-252
  7. Back Matter
    Pages 325-336

About this book

Introduction

This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications" includes numerous examples, descriptive illustrations and figures of the basic concepts, as well as exercises at the end of each chapter. The author has long time experience in teaching on fuzzy theory and its applications and continuously developed and summarized his didactic lecture notes into this book. This book can be used in introductory graduate and undergraduate courses in Fuzziness and Soft Computing and is recommendable to students, scientists, engineers, or professionals in the field for self-study.

Keywords

algorithm algorithms expert system fuzzy fuzzy control fuzzy logic fuzzy set fuzzy system genetic algorithm genetic algorithms neural network uncertainty

Authors and affiliations

  • Kwang H. Lee
    • 1
  1. 1.Advanced Institute of Science and TechnologyKAISTTaejonRepublic of South Korea

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-32366-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-22988-9
  • Online ISBN 978-3-540-32366-2
  • Series Print ISSN 1615-3871
  • About this book