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1 of 1 people found the following review helpful:
5.0 out of 5 stars Excellent hands-on guide
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
Published on September 17, 1997

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3 of 3 people found the following review helpful:
3.0 out of 5 stars Fuzzy logic good; C++ poor
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...
Published on October 4, 1998


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3 of 3 people found the following review helpful:
3.0 out of 5 stars Fuzzy logic good; C++ poor, October 4, 1998
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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.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Excellent hands-on guide, September 17, 1997
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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