Fuzzy-logic-based Programming
eBook - PDF

Fuzzy-logic-based Programming

  1. 256 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Fuzzy-logic-based Programming

About this book

The number of fuzzy logic applications is very large. This book tells the reader how to use fuzzy logic to find solutions in areas such as control systems, factory automation, product quality control, product inspection, instrumentation, pattern recognition, image analysis, database query processing, decision support, data mining, time series (waveform) databases, geographic information systems, and image databases. Those who have applications in these areas will find the book invaluable.The author was the first student to write a PhD fuzzy logic thesis under Professor Lotfi A Zadeh (the inventor of fuzzy logic), in 1967 at the University of California, Berkeley. In 1993, he designed and introduced the NICEL language for writing fuzzy programs that enclose if-then rules. NICEL is powerful and easy to use. The reader will find in the book that many algorithms for real world applications can be conveniently represented in NICEL.

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Yes, you can access Fuzzy-logic-based Programming by Chin-liang Chang in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Table of Contents
  2. PREFACE
  3. ACKNOWLEDGMENTS
  4. Chapter 1 Introduction
  5. Chapter 2 The Fuzzy Rule-based Language NICEL™
  6. Chapter 3 Data Acquisition
  7. Chapter 4 Control Systems
  8. Chapter 5 Pattern Recognition
  9. Chapter 6 Image Analysis
  10. Chapter 7 Soft Query Processing
  11. Chapter 8 Data Mining
  12. Chapter 9 Advanced Topics
  13. Appendix A. Tranducers and Sensors Vendors
  14. Appendix B. Data Acquisition Boards Vendors
  15. Appendix C. Functions in LabWindows/CVI
  16. Appendix D. Functions in UniversalLibrary
  17. Appendix E. Functions in UniversalToois
  18. Appendix F Some Applications In Control
  19. Appendix G Some Applications In Pattern Recognition
  20. Appendix H. LEADTOOLS DLL Functions
  21. Appendix I. GLIDE 2.1 Library Functions
  22. INDEX