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An Introduction to Fuzzy Logic Applications in Intelligent Systems

  • Ronald R. Yager
  • Lotfi A. Zadeh

Table of contents

  1. Front Matter
    Pages i-vii
  2. Lotfi A. Zadeh
    Pages 1-25
  3. Ronald R. Yager
    Pages 27-44
  4. Didier Dubois, Henri Prade
    Pages 45-68
  5. Hamid R. Berenji
    Pages 69-96
  6. James M. Keller, Raghu Krishnapuram
    Pages 121-145
  7. Vilém Novák
    Pages 185-200
  8. Waldemar Karwowski, Gavriel Salvendy
    Pages 201-220
  9. Bernadette Bouchon-Meunier
    Pages 221-233
  10. R. López de Mántaras, C. Sierra, J. Agustí
    Pages 253-262
  11. Janusz Kacprzyk, Mario Fedrizzi, Hannu Nurmi
    Pages 263-280
  12. Marco Botta, Attilio Giordana, Lorenza Saitta
    Pages 281-296
  13. Back Matter
    Pages 355-356

About this book

Introduction

An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems.
The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book.
Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Keywords

Extension artificial intelligence computer vision decision support system decision theory expert system knowledge knowledge representation learning modeling neural network operations research optimization programming uncertainty

Editors and affiliations

  • Ronald R. Yager
    • 1
  • Lotfi A. Zadeh
    • 2
  1. 1.Iona CollegeUSA
  2. 2.University of CaliforniaBerkeleyUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-3640-6
  • Copyright Information Kluwer Academic Publishers 1992
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6619-5
  • Online ISBN 978-1-4615-3640-6
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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