Fuzzy-Logic Books

Many readers like me are still waiting for the promised software on the www.scianta.com Website.
Many chapters are settled to that software...
Very very bad situation when you need it.
No answer from the website, no chance to have the software.
I think that the book value is about 1 $...
Earl where are you???

Both the author and publisher should be ashamed of releasing this book, and having the gall to charge $50 for it. Let me list some of the ways this book is a rip-off:

1) It was never proof-read or copy edited. There are typographic errors, misspellings, and missing words in the middle of sentences.

2) One chapter (I'll let you find it) skips a number in the figure sequence.

3) Variable names in the text differ from those in the referenced figure.

4) Code fragments in several languages are useless other than to boost the author's ego: look how many computer languages I can use!

5) The examples are all over the map; there's no consistency. Worst of all, however, is that the entire third part of the book (the Genetic Algorithms included in the title) focuses on a crew scheduling algorithm and never shows how that relates to data mining or anything else that preceeded it in the first two parts.

The book looks (and reads) like it was thrown together overnight from previously written materials and no one took the time to make sure it was done correctly. It must have been a stream-of-consciousness core dump without any thoughtful review to see if all parts were necessary, complete, and fit together to make a whole story.

They should pay the reader to take it out of inventory. It is unfortunate that the book is so poor as to be useless, I'm sure that others are as disappointed as I am.

Cox explains fuzzy modelling at a level that should be readily understandable to many readers. The math ideas are given, but you are not overwhelmed with page after page of formulae. Enough maths is developed to use against data and to produce sensible results.

A good feature of the book is how to apply fuzzy logic against data in a SQL database. Other books on fuzzy logic often ignore this important practical case.

Cluster is decently covered. This is a field where often what is a cluster can be very subjective. Which makes it well suited for a fuzzy approach.

The book also shows a very natural fit between fuzzy logic and genetic algorithms. The probing nature of the latter, where you really don't know what the "proper" answer should be, means that using a fuzzy match as a step within the genetic searching can be a fruitful implementation.

4 stars for theory, but 3 stars for actual implementation details

This book is a great introduction into Fuzzy Logic, Rules, Sets, and Modeling. The author doesn't assume the reader already has a Masters degree in Comp Sci or Software Eng, and gives good explanations of all the requisite knowledge needed to understand the basics of Fuzzy stuff. For this I gave the author 4 stars.

But, there is very little implementation details in this book. Its mostly theory with a smattering of code here and there. That's where it falls short of invaluable. If the author has made the book a hundred or two more pages longer and went into in depth implementation details this book would have been an easy 5 stars, coving the basics all the way through real world usage and implementation.

As it is, its just a good masters level text book. A good supplemental theory text to read prior to another book that shows more implementation details (which I haven't found yet).

As a student of fuzzy systems, with MS thesis in this area, I don't recommend this book. Unfortunately I used this book in my first contact with fuzzy systems, I was very frustrated.
Then I found other books and tutorials that helped me a lot to understand the subject.

Don't buy this book.
As a student with one of the authors and reader of the book from cover to cover, I feel confident to make my recomendation: Don't waste your money with this book. Try IEEE Proceedings special on Fuzzy Systems, the book from Zimmerman or go directly to the articles.

The book covers all aspects of fuzzy sets in a clear and highly comprehensive manner. I liked the book very much and adopted the text for our graduate students at ETCE Department, Jadavpur University.I liked all chapters of the book. I however have a special interest for the chapters 11 and 12 that cover fuzzy nurocomputing and fuzzy evolutionary computing respectively.

I believe all of you will enjoy reading this beautiful book.

This book is excellent introduction to theory and practical application of neural networks and fuzzy logic.
I know that for sure because I was totaly illiterate in that topic before I red it.
This book requires some prerequisite knowledge from reader.
Reader must have at least average undergraduate knowledge of discrete matematics,probability theory and matrix algebra.

I saw from previous reviews that some "good" C++ programmers expects to learn all that mathematics from one 500 pages book.
I think that would be impossible even for a perfect neural network.

This book is excellent introduction to theory and practical application of neural networks and fuzzy logic.
I know that for sure because I was totaly illiterate in that topic before I red it.
This book requires some prerequisite knowledge from reader.
Reader must have at least average undergraduate knowledge of discrete matematics,probability theory and matrix algebra.

I saw from previous reviews that some "good" C++ programmers expects to learn all that mathematics from one 500 pages book.
I think that would be impossible even for a perfect neural network.

Being a professional C++ programmer with a background in Applied Math I didn't like this book at all. It's written in a very annoying way: sometimes it sounds like its author is trying to sell the whole concept of NN and Fuzzy Logic to the reader instead of explaining how, when, and WHY fuzzy logic and neural networks work, how to train them properly, and what their limitations are. One characteristic example: author presents a list of companies using fuzzy logic in real systems but never gives any useful details about these systems.

The book is not for a "mathematician" since it often lacks precision, coherence, mathematical rigor, clarity, ... More often than not, you will find wordy explanations instead of simple formulas

It will displease a "programmer" too. The book's title is "C++ Neural Networks and Fuzzy Logic" so one may expect to find some well-thought and proven design ideas on how to implement NN and FL in C++ as well as a decent C++ library. Instead you will find just an amateurish C++ code (like anybody had any doubts that NN can actually be implemented in C++).

Numerous times author uses this "trick": he introduces new concept, delivers a couple of vague statements about the concept, and promises a better explanation later (in the following chapters, next series, etc).

How do you like this for definition: "STABILITY refers to such convergence that facilitates an end to the iterative process". You can find a lot of such "pearls" in this book.

Don't waste your time... There are better books

FYI: the book includes just a floppy disk instead of CD.

I'm sorry, this book is nearly useless. I'm a vetern C++ programmer and I tried to create a fuzzy logic system from the concepts and code in this book and it didn't work out at all. At first I blamed myself then I found some other fuzzy logic books and realized that no, this book just wasn't able to articulate the concepts in a meaningful way. The Neural net code was even worse. I wanted a cook book, do this, get a simple net, do this get a simple fuzzy logic system, now take what you learned and make a real one. Nope.

They do go over the AI terms and types of Neural nets and I did learn something by reading about it but not enough to justify the price of the book.

At first this book promises to offer a great deal for the reader, and the copious amounts of code therein support this impression. But once one actually begins working with the text, the book's shortcomings become all too apparent.

The authors do a lot of 'hand waving' at important concepts, almost as though the book was written as a companion piece to a course lecture. (Sometimes it really does read as though it's just a transcribed volume of professor's notes.) Numerous times I found myself stopping and thinking "wait, don't get off that topic yet! You've barely addressed its basics," and wondering if I had somehow missed something on the previous page or two.

The code supplied is abominably written, a Frankenstein hodgepodge of C and C++ intertwined. This code can be made to run with some work, but it could hardly be used as a sound basis for further development or experimentation.

You can derive good conceptual information out of this book, but it takes a lot of work. You really have to bludgeon your way through it, and that is no recipe for a successful educational text.

This book is not by Robert L. Trippi. There may be no Robert L. Trippi, but there is a Robert R. Trippi, and he did not write this book. The book in fact is by one Dimitris N. Chorafas. The book is listed as being published by Macmillan. The actual publishing house is Irwin Professional Press. The book, when it arrives, does not have the advertised 400 pages, but rather 374. The index ends abruptly at that point with Dawkins. It is impossible to say what is going on here, but it is not good. The book itself, as I glanced through it, appears to be insultingly simple-minded and probably misguided. By all means save your time, your money, and your anger.

Although math is mentioned in the desciption, you won't find any in this book. This book is written for junior high school economics students who have never heard the terms chaos or fuzzy logic before. With a background in non-linear dynamics, I found this text insulting for its price. Application of the current trendy concepts to any market whatsoever was completely lacking. It is essentially a 300+ page version of Webster's dictionary definition of chaos. For the amount of information present in this book, it should be priced in the five to ten dollar range.

A much better title for this book would have been "Interesting Financial Concepts That Hopefully Some Other Book Will Teach You"

As an engineer, I saw this as a very shallow treatment of Chaos Theory that will do NOTHING for those who actually wish to apply it to financial markets. Chapter after chapter poses questions to the reader but fails do deliver the answers. One can only assume that the few diagrams and examples presented are not explained because the author just does not fully understand them.

The reviewer who claims that the book was a good starting point may have been partially right. It asks so many questions that now I must find a text with at least one or two answers.

Apparently a book's value is in the eyes of the beholder. The Oregonian writer of the negative comments about the Chorafas book reached a far different conclusion than I did. I think that person must have been looking for an elementary cookbook that would make him rich by following a few simple rules and not having any work to do. Personally, the Chorafas book was exactly the launching point I needed, and I used my engineering background to develop Chorafas' concepts and apply them directly to the stock market, and I am making a lot of money.

Something of a disappointment. There is almost nothing of a truly technical nature. A lot of chalk board drawings but nothing you can feed to a computer to test any ideas. It would have been worth the price if it had included a few real world models, perhaps implemented as spreadsheets. Otherwise, it's just a b-r-o-a-d overview.

I am an engineer and have read a lot of books on science, math and
of course engineering. But I have never read a book this bad in
English. Apparently, translator's mother tongue is not English.
I am inclined to blame the publisher who publishes a book without
checking the credential of the translator. My recommendation is:
do not waist your money on this book.

I agree with Mr. Lentini. If you want to learn something about fuzzy logic - look for some other book. This is actually a booklet that only characterizes Fuzzy Logic in a very childish manner. The translator is an utter ignorant: Leibnitz is called "Ripunitz" and Aristole is "Alistoter" or something like that (probably following the Japanese transcription...). Even 1 cent is a waste for it.

While I would agree that the text of the book is a poor translation from the original Japanese (my guess is they waved it in the general direction of an editor while he was distracted) and there is not much in the way of technical depth to the book, it seems to me to very nicely and concisely capture the spirit of the "Fuzzy" movement.

All in all I think its a great introduction if you are wondering what all this fuzzy nonsense is about anyway, but don't plan on reading it twice.

I had hoped to get a concise introduction to fuzzy logic from this book. But the author only discusses fuzzy logic at the highest level, not much more deeply than most newspaper and magazine articles. The original text was clearly written in Japanese, and the translation is among the worst I've dealt with in the science and mathematical subjects.

In short, apply the money you would spend for this book to one that is more expensive but actually useful. Just accept that getting to know fuzzy will not be cheap!

I found this text to be a satisfactory introduction to the principles of Fuzzy Logic. I don't think that the book presents the relevant information to developing a fuzzy system, but rather tries to excite the viewer with useless examples of fuzzy systems.

It did answer and explain in detail fuzzy logic and the history behind the controversial mathematical concept. To predict the characteristic of something based on a table of measured values is something whose problem lies in the implementation of such a process. It would take a good amount of testing to find how much torque is needed to counteract the steering in commuter trains. The previous sentence was one of the examples used in the text.

This is not a good book for people who want to understand the basic idea of fuzzy cluster analysis in a short time.

This book is ridiculous. It has too many unnecessary and, even worse, unclear definitions. It never gives us the meanings of the strange symbols in those absurd definitions. If you want to understand fuzzy cluster analysis in a relatively short time and do not want to suffer, please do not buy this book.

Previous reviews are correct, this is not a book for beginners. This is an advanced text for specialists in the area of fuzzy clustering, and as such it is an excellent work. Standard fuzzy c-means, Gustafson-Kessel c-means and Gath-Geva c-means are drawn together in a single modeling framework for near-arbitrary cluster shapes. The cluster validity problem is examined in depth, and experimental results in image analysis are used to illustrate the theoretical material. An excellent monograph.

This is a remake of a previous edition, to include fuzzy logic. References are outdated, and the applications of fuzzy logic to large scale systems (the reason I bought the book for) are not very interesting: inverted pendulum examples, function approximation, and vague references to the really "complex" large-scale industrial systems.

I use Matlab's fuzzy logic toolbox for my classes, and from the title guessed that this book might serve as a handy tutorial and reference guide for my students. Instead I found the book poorly organised and typeset, hardly illuminating and full of language errors. No way I could use this book in class. Much more insight into the subject matter is to be gained, and a lot of money to be saved, by reading Matlab's own help files.

I foolishly bought this book as it was recommended by the instructor for my fuzzy logic course (SD 558).

Worst 110 bucks I ever spent in my life. As an introductory book, it's not very verbose. It's boring as hell to read, and it's not very helpful.

It's mostly in point form. So if you're looking for nice explanation on terms or examples, forget it!

My recommendation would be to buy Fuzzy Neural Approaches in Engineering by Robert E. Uhrig.

It's a collection of papers u won't understand anyway. So instead of paying an exhorbitant price for only 200 pages, buy a Ferrari instead.