Ebook Info
- Published: 1996
- Number of pages: 549 pages
- Format: PDF
- File Size: 314.82 MB
- Authors: Bart Kosko
Description
Written by one the top figure in this rapidly emerging field, this book introduces an important new framework for fuzzy systems and applies it to several engineering applications. Broad in scope, this is a must-read for anyone doing research or applications. Applications reach far beyond the usual fuzzy applications to control. Each chapter starting with a tutorial overview, presents new research results, and ends with detailed problems. Specific discussion is dedicated to fuzzy function approximation, fuzzy chaos and control, fuzzy signal processing, fuzzy communication, fuzzy hardware, computing in fuzzy cubes, and feedback in fuzzy cubes.
User’s Reviews
Editorial Reviews: From the Publisher The author of Fuzzy Engineering is a world leader in this rapidly emerging field. This text recasts and extends fuzzy systems in the language of function approximation. It applies these “smart” systems to a wide range of novel applications in engineering and knowledge processing. The text is broader in scope than the author’s acclaimed text Neural Networks and Fuzzy Systems and is a must-read for anyone doing research or applications.. From the Back Cover Written by one the top figure in this rapidly emerging field, this book introduces an important new framework for fuzzy systems and applies it to several engineering applications. Broad in scope, this is a must-read for anyone doing research or applications. Applications reach far beyond the usual fuzzy applications to control. Each chapter starting with a tutorial overview, presents new research results, and ends with detailed problems. Specific discussion is dedicated to fuzzy function approximation, fuzzy chaos and control, fuzzy signal processing, fuzzy communication, fuzzy hardware, computing in fuzzy cubes, and feedback in fuzzy cubes.
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐This is more of a set of case studies. If you’re interested in fuzzy math, I’d start with “Neural Networks and Fuzzy Systems: a dynamical systems approach to machine intelligence” by Dr. Bart Kosko (same author).
⭐just ok
⭐Kosko done a nice job by bring in the best fuzzy application design potentials by telling us what is fuzzy (additive fuzzy system) and why fuzzy, get it for yourself, if your are working on fuzzy system.
⭐This book is great, it covers from “What is Fuzzy” to “Fuzzy Chaos” … in the book you can find all the information needed …
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