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2 of 2 people found the following review helpful:
5.0 out of 5 stars A must book for superior understanding of general fuzzy systems
This is an absolutely brilliant work focusing on both fundamental aspects of Fuzzy logic systems. Firstly an intuitive and physical understanding essential for diverse applications of fuzzy sets is developed while at the same time mathematically sound treatment of fundamentals is carried out. There is no other book which integrates clarity and the underlying mathematics...
Published on April 20, 2008 by H. Malik

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0 of 3 people found the following review helpful:
1.0 out of 5 stars Don't waste your money
The subject matter is fascinating, but this paperback book arrived with the binding already broken. I've had the book less than a week and about 40 pages have already fallen out. Prentice-Hall used to be a reputable company, but evidently no more.
Published 24 months ago by A reader


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2 of 2 people found the following review helpful:
5.0 out of 5 stars A must book for superior understanding of general fuzzy systems, April 20, 2008
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This review is from: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions (Paperback)
This is an absolutely brilliant work focusing on both fundamental aspects of Fuzzy logic systems. Firstly an intuitive and physical understanding essential for diverse applications of fuzzy sets is developed while at the same time mathematically sound treatment of fundamentals is carried out. There is no other book which integrates clarity and the underlying mathematics to such high level. The treatment of type-2 fuzzy sets is unrivalled by all standards. Mendel is perhaps first time ever in a published book, gives a truly geometric and easy to understand description of type-2 fuzzy sets, making lives of PhD students like myself easier. However, book can be read and used for applications by any one with undergraduate degree in science, engineering or even finance etc and requires moderate mathematical maturity. All relevant mathematical aspects of fuzzy logic systems are covered in detailed in the book itself.

The book begins with a comprehensive and deep treatment of type-1 logic system or in other words, ordinary fuzzy set theory. Then type-2 fuzzy is introduced early on with extremely easy to understand format. While theory of ordinary fuzzy logic is developed to the full extend in part 1, part two of the book, focuses on parallel development of type-2 fuzzy sets. There are no other works, except perhaps Mendel's own published papers, which have such easy to understand and easy to internalized treatment of relatively new and difficult area of type-2 fuzzy logic system. Throughout the easy to understand examples with detail applications of type-2 fuzzy logic system to engineering ranging from digital communications to knowledge mining are given.

While mathematical aspects are covered in detail and without sacrificing required rigor, overall style is quite informal and very easy to read. The book successfully advocates the use of type-2 fuzzy logic systems as a generalization of type-1 fuzzy logic system while demonstrating increased applicable power of type-2 fuzzy systems to tackle difficult engineering and scientific problems including but not limited to time varying, systems, systems involving non-stationary noise processes and nonlinear systems.

Relevant examples of above areas are considered in detail along with reasons to use type-2 fuzzy systems as a solution mechanism. Examples of application areas covered include equalizations of nonlinear and time-varying digital communications channels, rule based classifications of video traffic, knowledge mining using IF-THEN questionnaires and so on. This aspect makes this book quite unique and allows easier transition from described theory to the required applications for the reader.

In the final analysis, this is the perhaps the only book available, which while stressing mathematical details relating to type-1 and type-2 fuzzy logic systems, provides physical and intuitive understanding drawn from detailed discussions and heavily supplemented with figures and pictures with remarkable clarity as well as gives easier to follow practical application based examples. All three aspects work together in a synergetic manner to clarify and imprint deep knowledge relating to fuzzy systems in the minds of the readers.

Last but not least, detailed computer programs in Matlab are provided covering both type-1 and type-2 fuzzy logic systems. This aspect allows immediate applications to practical problems.

This book is greatly appreciated and highly recommended for anyone interested in type-1, or type-2 fuzzy logic systems aiming either to deeply understand these important areas or to apply them in his or her field of interest.
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4.0 out of 5 stars The Best Book, November 23, 2009
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This review is from: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions (Paperback)
It's all that you need to learn about Fuzzy Sets and Systems. Even because Jerry Mendel is one of the most important researchers of Fuzzy. The only problem is that the book hasn't a good finishing.
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0 of 3 people found the following review helpful:
1.0 out of 5 stars Don't waste your money, February 5, 2010
This review is from: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions (Paperback)
The subject matter is fascinating, but this paperback book arrived with the binding already broken. I've had the book less than a week and about 40 pages have already fallen out. Prentice-Hall used to be a reputable company, but evidently no more.
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0 of 6 people found the following review helpful:
1.0 out of 5 stars Uncertain rule-BAsed fuzzy Logic Systems: Intro. & new directions, January 19, 2009
This review is from: Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions (Paperback)
Couldn't tell if the book was good or not. It was the correct cover, but a totally different book inside. Something about applying for grants. I assume it was a printer error, but was a waste of postage.
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Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions
Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions by Jerry M. Mendel (Paperback - January 1, 2001)
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