Always Learning

Introduction to Applied Fuzzy Electronics
Ahmad M. Ibrahim, DeVry Institute of Technology, Toronto

ISBN-10: 0132064006
ISBN-13:  9780132064002

Publisher:  Prentice Hall
Copyright:  1997
Format:  Paper; 192 pp
Published:  08/12/1996
Status: Out of Stock


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Description

Appropriate for undergraduate or first year graduate courses in Fuzzy Logic, Digital Electronics, Control Systems, and for Special Topics courses. May be found in technology or engineering departments. Appropriate for industry training courses offered out of continuing education departments.

This text provides a self-contained, compact introduction to fuzzy logic from an applied electronics point of view. It presents fuzzy electronics as a generalization of digital electronics with the goal of making fuzzy logic easily accessible to practicing engineers and students alike.


Features

  • Offers a clear, concise, easily accessible approach to fuzzy logic. Pg.___
  • Supports discussions with numerous examples providing frequent opportunities to put newly covered concepts into use. Pg.___
  • Encourages research and the use of the Internet's vast resources. Pg.___
  • Approaches fuzzy logic as a generalization of digital logic to build on what readers have already learned and provide a foundation for further advancement:

    • Introduces some ideas in mathematics to smooth the transition from digital electronics to fuzzy electronics. Pg.___

    • Reviews some ideas from neural networks to enable readers to pursue further advances in applied fuzzy logic. Pg.___

  • Designs exercises to both reinforce concepts and practice numerical calculation. Pg.___
  • A comprehensive glossary provides entries that cover expressions found in literature, as well as those found in the book. The glossary can stand-alone and is intended to be a good reference. Pg.___


Table of Contents



1. Introduction.


2. Sets, Boolean Logic and Algebra.


3. Fuzzy Sets.


4. Fuzzy Logic Algebra.


5. Fuzzy Control.


6. Electronic Neural Networks.


7. Fuzzy Neural Networks.


Glossary.


Appendix A: Examples of Fuzzy Logic Software.


Appendix B: Examples of Fuzzy Logic Hardware.


Appendix C: Source Code Generated Automatically by FLD Design Package for the Example Given in Section 5.3.1.


Appendix D: Examples of Consumer Products that Use Fuzzy Logic.


Appendix E: Points to Ponder.


Index.



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