"The Fuzzy Systems Handbook" provides an introduction to fuzzy logic, the fast-growing alternative to binary logic that has wide applications from computer science to process control. This handbook leads the reader through the complete process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy-system model. It is written in a tutorial style that assumes no background in fuzzy logic on the reader's part. This pack: includes an IBM DOS diskette, with all the book's examples implemented in C++ code; provides mathematically straightforward exposition, with emphasis on practical applications; presents case studies on fraud detection, entropy, managed health care and metallurgical analysis. It features a foreword by Lotfi Zadeh, who developed fuzzy logic in the 1960s.
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3 of 3 people found the following review helpful:
3.0 out of 5 stars
Fuzzy logic good; C++ poor,
By A Customer
This review is from: The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems/Book and Disk (Paperback)
After Bart Kosko's "Fuzzy Thinking," this was the first fuzzy logic book that I bought. The writer's prose is readable and understandable and the explanations of fuzzy logic, especially as applied to modelling, are quite good. My criticism is that the source code provided is not truly in C++; very few (and no important) C++ features are utilized. With very little change, the examples could be compiled with a C compiler. This is most unfortunate, since fuzzy logic in general, and the modelling system described are excellent for object-oriented software. I hope that the 1998 edition of the book does better.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Excellent hands-on guide,
This review is from: The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems/Book and Disk (Paperback)
The C++ source code that ships with this book, makes it already worth the buy. Combined with this, the book has some good practical examples of real world fuzzy systems
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