Product Description
The first edition of Fuzzy Logic with Engineering Applications (1995) was the first classroom text for undergraduates in the field. Now updated for the second time, this new edition features the latest advances in the field including material on expansion of the MLFE method using genetic algorithms, cognitive mapping, fuzzy agent-based models and total uncertainty. Redundant or obsolete topics have been removed, resulting in a more concise yet inclusive text that will ensure the book retains its broad appeal at the forefront of the literature.

Fuzzy Logic with Engineering Applications, 3rd Edition is oriented mainly towards methods and techniques. Every chapter has been revised, featuring new illustrations and examples throughout. Supporting MATLAB code is downloadable at www.wileyeurope.com/go/fuzzylogic. This will benefit student learning in all basic operations, the generation of membership functions, and the specialized applications in the latter chapters of the book, providing an invaluable tool for students as well as for self-study by practicing engineers.

Customer Reviews (7)

LOADED WITH ERRATA
I purchased the book for a graduate level engineering course.Perhaps the other raters are orders of magnitude smarter than I, because I found the book to be extremely difficult to understand, almost to the point of laughability.The narrative is unnecessarily complex in my opinion, requiring a serious student to read and reread multiple times until a concept can be grasped.And you better have a dictionary handy because you will likely come across terms that even a well educated person will not recognize.To make matters worse, the text is LOADED with errata.On several occasions I struggled for hours working through examples in various chapters, pulling my hair out and not getting it, only to discover later after confronting the professor that the example was wrong.Not only are there numerical errors laced throughout the text and in the answer appendix, but there are MANY instances where the concept/strategy is not fully explained in an example, leaving you to scratch your head as to why particular variables and their value were chosen (not calculated), why a certain step was performed or not performed, and why certain "tactical decisions" were made as you make your way through a procedure.Several of the sketches are sloppy too where the accompanying narrative does not always match with what the sketch is telling you.
For a rather complex subject, the last thing you need is to struggle with the text.There are so many errors, and so many instances where a complex idea or example is not fully explained that I would recommend purchasing other reference material; at least until the 3rd edition of this text comes out and corrects most of the errata.

Much better fuzzy logic books are out there.
With the exception of Ch. 1, the first part of the book is o.k. To see my problem with chapter 1, simply look at the article on bounded rationality he uses in his discussion of a chess game.First, several parts of the article are coppied word for word directly in his text;I have no problem with this, but they should appear in quotes.Second, I don't think his analysis of the article is accurate.
Ross does an excellent job of introducing binary logic and extending the results to fuzzy logic.However, other than this one chapter, the rest of the rest of the book is not worth the read.A much better book is by Yager and Filev.I went with Ross' text because it was published in 2004 (you know, latest is greatest) compared to the 1995 publishing of Yager's book.Don't make the same mistake, just get Yager's book; you will learn more and save yourself some money!

Excelent for a fisrt course in fuzzy logic and systems
The way the fuzzy paradigm is introduced and developed is very inspiring for those that come from more traditional ways of thinking. The author makes the transition from classical logic to fuzzy logic in a very clear way. The fields of aplication of fuzzy logic are very well represented in the book. I would stongly support the author to publish a second edition of the book.

excellent reference book
Very good book for a solid background on Fuzzy Logic.Highly reccomented.Ross is a very involved author and enthousiastic supporter of Fuzzy logic theory use in problem solving.Try to solve some of the problems in the book.They provide much inside on real applications of the fuzzy logic Theory

The least fuzzy book on fuzzy logic
If you decide to buy a book on fuzzy logic or applications of fuzzy logic, this is absolutely the best book for introductory level. In other words, this source gives a non-fuzzy and comprehensive knowledge to reader.
I strongly recommend this book to everybody for an exact comprehensive introduction to the theory of Zadeh. ... Read more

Product Description
"Fuzzy logic" is a way to program computers so that they can mimic the imprecise way that humans make decisions. This important book traces the dramatic story of Lofti Zadeh, the Iranian-American professor who developed this concept, and his struggle to sell it to the American academic and business communities. ... Read more

Customer Reviews (10)

3.5 stars-Overall,an above average history of fuzzy logic with some rough spots
This book is an above average history of the conceptualization ,development,and application of fuzzy logic.Fuzzy logic essentially replaces the point estimates of the mathematical laws of probability(addition and multiplication rules for disjunction and conjunction,respectively)with interval estimates using linear programming techniques.The two main protaganists areL. Zadeh and B. Kosko.They certainly should be recognized for independently developing their own particular versions and approaches to interval estimates but they are NOT the originators.The authors of the book overlok that it was George Boole who was the first to come up with interval estimates for probabilities,including non rational numbers, in chapters 16-21 of his 1854 The Laws of Thought.J M Keynes then usedmodified versions of a number of these problems of Boole's to present a method of approximation using an interval estimate approach in his A Treatise on Probability in chapters 15 and 17.Keynes rejected the purely mathematical laws of probability as a special case and emphasized the notion of " non numerical " probabilities or indeterminate or non comparable probabilities,by which he meant interval estimates.Theodore Hailperin,in 1965 and in full length books in 1976,1986,and 1996,demonstrated that all of the Boole problems could be solved as linear programming problems.Daniel Ellsberg's "ambiguous" probabilities(intervals)are also overlooked in this book.


The authors mix subjectivist Bayesians(Ramsey,De Finetti,and Savage)with Objectivist Bayesians(Jeffreys,Jaynes)without apparently realizing that there are major differences between them.The claim that Boole reduced thinking to "classical logic " and "well bounded symbols " while ignoring " vagueness " on p.71 is false as is the claim that Boole was a supporter of the purely mathematical application of the laws of probability who rejected subjectivism at the top of p.180.He was not.

This is a entertaining book.It is worth buying even though the authors have overlooked the actual originators of the interval estimate approach to decision making based on indeterminate probabilities-George Boole,J M Keynes,Theodore Hailperin,and Daniel Ellsberg.

A must read - The History of a revolutionary technology
"Imagine a technology so revolutionary that it gives computers the ability to make decisions more like human beings"

This is a book about the history of this technology, but be aware this is not an academic, scientific or engineering book.

An excellent reading if you like to know a little bit about the behind the scenes, the lives, and stories that surround the development of this fascinating technology. Fuzzy logic is a technology so great, that in my opinion, it single handed advanced the science of artificial intelligence, in a way that it wouldn't have been possible without the concepts that support Fuzzy Logic.

As Earl Cox Said: "If you are curious about fuzzy logic, buy this book. If you are working with fuzzy logic, buy this book. If you have never heard about fuzzy logic, buy this book....The Rosetta Stone of fuzzy logic".

Again,...be aware....this is not an academic, scientific or engineering book about mathematics or logics. Its just a Hot science book about the history of Fuzzy Logic.

Disapointment; this is not a book on logic
The book claims to be a introduction to fuzzy logic. Though I now know something about the development of fuzzy logic, it has not developed my understanding of fuzzy logic. This introduction is just too simplistic. It lets you think you understand, but you really do not. The book do not contain any logic at all, no proofs, no methods and no exercises. It should not be taken as a book on logic, but a book ofn the history of logic.

Excellent
McNeill does a great job in picturing the initial introduction of Fuzzy Sets, rejection by US companies, and the developments of Japanese companies. This book contains the best historical recolection on Fuzzy Logic.

History and Philosophy of Fuzzy Logic
'Fuzzy Logic: A Revolutionary Computer Technology that is changing our world', a book by Daniel McNeill and Paul Freiberger, is all about the history and philosophy of fuzzy logic. This book was written nearly a decade from now and the main body consists of 275 pages of text (pp. 9 to 283). It took me 2 weeks to finish reading this book since I underlined important terms, concepts, and names of the people who contributed to the development of fuzzy logic. Without underlining, I think anyone can read this book in less than a week. The book has the following advantages and disadvantages:
Advantages:
1. It has quotations from famous people at the beginning of each chapter.
2. It is comprehensive.
3. It has been a major source of reference of most websites on fuzzy logic.
4. It is lightweight and measures approximately 7' x 5' inches.
Disadvantages:
1. It contains only a few diagrams.
2. It is monochromatic (lacks color).
3. It is generally non-technical.
I understand its predominantly non-technical approach (3rd disadvantage) because I assumed that there has been a lack of English technical references for fuzzy logic in the early 90's. Therefore, these are my comments/suggestions:
Comments/Suggestions:
1. I suggest that the authors revise the book to include 2 parts:
a. Fuzzy Logic: History and Philosophy
b. Fuzzy Logic: Concepts and Applications
2. The revised version should include more mathematical diagrams/models, sample problems with solutions, and exercises with odd-numbered solutions.
3. The revised version should include technical references such as 'Heaven in a Chip: Fuzzy Visions of Society and Science in the Digital Age' by Bart Kosko, 'Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models' by Vojislav Kecman, 'Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases' by Oscar Cordon, 'Fuzzy Engineering' by Bart Kosko, and Fuzzy Logic and Neuro Fuzzy Applications Explained' by Constantin Von Altrock.
4. The revised version should include sample applications with simulation using free downloadable fuzzy logic software/program from the internet such as FuzzyLib 2.0 and Simple Inference Engine 1.0 which are currently both available... ... Read more

Product Description
Fuzzy Logic provides a complete overview of fuzzy logic and outlines how it can be applied to real-world problems in industry and business. The book focuses on how the main concepts of fuzzy logic can be put to use in a practical way, and includes illustrative programs on an accompanying disk to provide hands-on experience in fuzzy applications. ... Read more

Customer Reviews (4)

Mycin
Fuzzy logic results from probable classifications. Fuzzy logic is about classification.Words are used to build context.Machines must follow rules that humans find intuitive.For example what is an oval. A person can be shown a few examples of an oval and know instinctive which shapes are oval.Fuzzy rules, such as, convex, continueous, closed, etc, probabilities must pattern match to product an action that confirms the object is oval.

Mycin is an expert system with both an inference engine and a knowledge base engine.Mycin uses a fuzzy logic inference engine and derives a best solution through a series of questions and answers.In the 1970's Mycin was used to advise physicians on the treatment of bacterial infections of the blood and meningitis.Mycin uses information about specific symptons and the outcomes of laboratory tests then recommends a certain course of antibotics.The system outputs sentences but the user inputs words.Mycin asks facts about a specific patient.The inference engine has a series of rules and each rule has an action. When a rule is activated the pattern part matches the database.If a pattern match occurs an action results.More questions can result from actions, a backward chaining expert system.

Nice approach
I enjoyed the approach here.The author uses simple, rather concrete examples that allow one to see how fuzzy logic systems work.With the shareware given here it also shows that such systems don't take a lot to construct or work with.As one reviewer says the book doesn't have much on the mathematical theory behind fuzzy logic systems, but the author meants such as a practical approach.And the mathematical theory definitely works as much too much to explain in a work like this.Additionally, the main advantage of using fuzzy systems works as that you don't have to use so much math and bury everything in equations and cryptic symbols.This sort of example makes it easier to see this and work with it.
The knowledge builder shows some ideas as to how one can generate if-then rules in a simple fashion.The decision maker makes the program practically.And the fuzzy cognitive map shows you how fuzzy logic systems can apply to scientific modeling easily.

Mediocre Intro to working with Fuzzy
Not a bad intro to Fuzzy if you know nothing about it and the few real world examples showed me that Fuzzy Logic can be used successfully.But the work the authors have you do with the shareware is too difficult tofollow.The results often didn't match up to the book's section and i wasleft confused.This book is very light in fuzzy theory and left me withoutknowing how to use fuzzy logic in the real world.

Weak on Theory
If you're interested in an overview of the subject of fuzzy logic this book may be adequate for your need.It is primarily a manual on how to use the shareware version of the software which is provided.I found this book inadequate in explaining the theory behind fuzzy logic ... Read more

Product Description
Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to artificial intelligence. In this concise introduction, the author presents a succinct guide to the basic ideas of fuzzy logic, fuzzy sets, fuzzy relations, and fuzzy reasoning, and shows how they may be applied. The book culminates in a chapter which describes fuzzy logic control: the design of intelligent control systems using fuzzy if-then rules which make use of human knowledge and experience to behave in a manner similar to a human controller. Throughout, the level of mathematical knowledge required is kept basic and the concepts are illustrated with numerous diagrams to aid in comprehension. As a result, all those curious to know more about fuzzy concepts and their real-world application will find this a good place to start. ... Read more

Customer Reviews (8)

Excellent book!!!
This book is an EXCELLENT book for teaching this subject.
Students can finally understand what is fuzzy logic and its notation.
It is short and sweet, with great examples, great pictures, great explanations.
Not difficult to read at all.
Actually, quite enjoyable to read for students.

It just has several typos, but thet are easy to detect as typos right away.

A perfect intorduction to fuzzy logic
After spending some time trying to grasp the concepts of fuzzy logic and fuzzy sets, I found this book. This is THE book to start if you want to get a quick introduction to what fuzzy logic is, and how to use fuzzy sets as a tool. I highly recommend this book if you are having problems following other books in fuzzy logic. There is an example for every concept that is introduced, making it really easy to follow and understand

Good introduction, with some errors
This 136 page book provides a brief introduction to fuzzy logic and applications.However, I have to disagree with the comment that symbols are always defined when used, as many are not.

Also, I think the book may have suffered in translation, as there are quite a few errors, especially in the translation of formulas.For example, on page 27 is an incontrovertable mangling of De Morgan's laws.In other places, symbols are left out, subscripts and superscripts are inexplicably moved around, and shading for graphs and tables is mentioned many places in the text but mysteriously not present in the graphs and tables referred to.

Fortunately, Tanaka goes over the same topic from multiple prespectives, in most cases allowing the reader to figure out what is going on.As an introduction, this book would definitly have benefited from a table of symbols.However, overall, a good introduction to (or review of) the topic.

Fast entry to notation
I purchased this book to gain enough information to read a technical paper.Fuzzy logic is new to my industry (petroleum) and my 1970's education did not provide any background.The book took less than an evening to absorb and provided more than enough understanding of the notation and basic operations that I was able to read my paper and start building an interest in deploying Fuzzy logic in my daily work.Other books are needed to fully apply the methodology.However, sufficient demonstration of basic fuzzy arithmetic was provided to know that 2 times 3 divided by 2 is not necessarily 3.

I shared the book with a mathematically oriented associate and she had similar experiances.

Overall, a great introduction with just enough information for a cursory review and enough detail to help determine need or interest for a more detailed presentation.

Breezy Intro to Fuzzy Logic
I was impressed by the fact that most symobology used in the book is defined during its first use.There are a few symbols like 'sup' on page 38 that I'm still unclear about.

There are five basic chapters in the book:
1 Introduction
2 Fuzzy Set Theory
3 Fuzzy Relations
4 Fuzzy Reasoning
5 Fuzzy Logic Control

Chapter 1 is a brief two page intro to the concept.The chapter on Fuzzy Set Theory gets into the basics. I've read the descriptions of Fuzzy Logic in MathLab's Fuzzy Logic module and so was prepared for most what is in this chapter.As such, I'm still somewhat unclear as how Cartesion Products and Extension Principles are applicable to the whole concept of Fuzzy Logic.

In the chapter on Fuzzy Relations, further use of extensions is used along with the properties of composition.Simple matrix math is used in some cases to arrive at results in some of the examples.

The fourth chapter, which is about Fuzzy Reasoning, includes reasoning based upon Mamdani's Direct Method, Takagi & Sugeno's Fuzzy Modelling, and the Simplified Method.It is in this chapter where the earlier mechanisms of composition are utilizied.Defuzzification, which is final step of any fuzzy logic process, is lightly described with a brief reference to the standard centroid calculation.

The final chapter is light on formulas, and offers up a high level description of the superiority of fuzzy logic over PID controllers, and how the former can help the latter obtain better control in some situations.

After having taken a first read of this book, I'll have to go through it again to see if I can better relate Fuzzy Relations to the remainder of the book.In addition, now that I've got a better grasp on fuzzy symbology, I believe I'm ready to move on to the more heavy duty books of the subject area. ... Read more

Product Description
A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications.

New in the Third Edition:

Customer Reviews (4)

Excellent introduction Fuzzy Logic theory
What I really liked in this book is that it is not an applications book. There is one chapter on practical applications, but the rest of the book goes through lots of definitions and theorems.So if you are interested in Fuzzy Logic as Logic (and not as a tool you an use) then you will like this book.

prof. review
thisis the best intro to fuzzy ever writen....im a university prof on the subject of AI so...Ive read tons of books on the subject and this is by far the best intro to fuzzy even for those who ll be learning on their own... very simple put and yet very abording on the matter!

A First Course in Fuzzy Logic
If you are looking for a book on Fuzzy Logic Theory, this is a good book. It explains the mathematical basis of fuzzy logic, the mathmatical symbols used, provides proofs for theorems, etc. The chapters and sections areclearly labeled in the table of contents, making it easy to zero in on atopic. It is a College Text Book, with problems to solve at the end of eachchapter. Selected problems have answers in the back of the book.Unfortunately, that wasn't the type of book that I expected or needed. Iwas looking more for the hands on, how to, type of book. That is the onlyreason it did not get 5 stars.

Outstanding, for people who are interested in this area
This is the clearest explanation and application of fuzzy logic that has been published. It is thorough, without being arcane or pedantic. ... Read more

Product Description
59151-1 Make sharper business decisions with fuzzy logic! What's it worth to your business to make better decisions about:*Credit? *R&D? *Investments? *Direct marketing? *Suppliers? *Quality control?You can do all that, and a whole lot more, with fuzzy logic, the first technology that allows computers to make decisions with human-like judgment. Long proven in engineering and scientific applications, fuzzy logic takes into account all the uncertainties of the real world-where "maybe" and "probably" are a whole lot more common than "yes" and "no" Now, internationally-renowned fuzzy logic expert Constantin Von Altrock, author of Fuzzy Logic and NeuroFuzzy Applications Explained, shows you exactly how fuzzy logic works-and gives you tools to use it in your business. In this hands-on, practical guide, you'll walk through powerful fuzzy logic business applications for business, including supplier evaluation, customer targeting, scheduling, choosing R&D projects, and forecasting. You'll watch fuzzy logic at work analyzing credit, evaluating leases, making stock market decisions, and uncovering fraud.Then model your own fuzzy logic applications with fuzzyTECHaA Afor Business simulation software for WindowsaA A .It's included on the CD-ROM-along with working applications you can adapt for your own needs. You'll even learn how to integrate fuzzy logic decision-making with your existing data, using Microsoft's Visual Basic, Access, Excel, OLE, and DDE. If you need to make the best possible decisions, make them fast, and make plenty of them, you've come to the right book: Fuzzy Logic and NeuroFuzzy Applications in Business and Finance. ... Read more

Customer Reviews (5)

OK Book Marred by Crippleware
I recently used the book in an introductory AI class.I found it short on good descriptions of the basics, and long on 'user manual' information on FuzzyTech.This was not bad in itself, but FuzzyTech is a VERY complex program and the 'trial version' on the CD will not let you save ANY files or projects.This means you have to do all your learning in one session, or start over the next day.It would have been far more useful if the company had limited the size of the project you could save.I won't use this book again.

Good book to explore Fuzzy Logic solutions
I found this book to be a worthwhile read. I agree with the other reviewers that it covers Fuzzytech quite extensively, but a completely working version of fuzzytech ships with the book, so it is possible to follow all the examples in the book. The book triggered some good ideas for me as to how to implement fuzzy logic in the business environment. It does not try to be a very academical book, although various discussions are given to explain Fuzzy Logic. If you are prepared to use Fuzzytech as tool to play around with examples, then this is a good book.

If you plan on learning the Fuzzytech program, you need this
As a user of the fuzzy logic program that von Altrock's company makes, I have found that this book is absolutely necessary. The truly weird thing is that Inform, the software publisher, doesn't tell you about this book, when it should be included with every Fuzzy program that they sell. The manual that is included with the program is wretchedly bad; dull, confusing, and pointless. Only worse. Once you discover this book, much of the operational confusion surrounding Fuzzytech will be cleared up. However, von Altrock cannot resist a certain measure of obscurity. NeuroFuzzy applications is direct and clear, but leaves plenty of understanding gaps between one implementation and another. Von Altrock needs to expand this text and provide a wider range of specifics and details. For instance, until very recently, Fuzzytech suffered from a limited ability to read data files. This placed the program far behind the curve of contemporary usage. This is badly needed information; how does the progam really work ? Since this is the ONLY readable volume on the subject, von Altrock and Inform would be well advised to do a more thorough job of linking theory to practice.

Finally something for practitioners
I was looking for a good technology to implement risk assessment systems and a colleague pointed me to fuzzy logic. Browsing the various books, I was flooded with mathematical theory and application notes that just claimed, fuzzy is good because it is fuzzy, and gave no hints of what was really done. Altrock's book is different. It goes right to the point and shows you all the works with examples. While the first examples are rather simplistic and only serve a didactic use, the more complicated case studies are quite useful. What is really helpful is the attached software. However, the attached CD is a bit outdated. but I was able to download an updated version of the software examples.

Fuzzy logic and neurofuzzy applications in business and fina
This book has a promising blurb which lead to me buy it. I was greatly disappointed. The blurbs suggested that the book would have plenty of detailed examples for the use of fuzzy logic in business and finance. Theexamples were there, but few and far in between, without the detail thatwould have made them useful case studies. Instead the author spends almostthe entire book on one *single* fuzzy logic software called fuzzytech. Thebook is more like a manual for fuzzytech applications than it is anexposition on the use of fuzzy logic for business and finance. ... Read more

Product Description
This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System. ... Read more

Product Description
Fuzzy logic is enjoying an unprecedented popularity – and for excellent reasons.It has moved successfully beyond the technological and engineering fields into areas as diverse as consumer and electronic products and systems, the stock market, and medical diagnostics. ... Read more

Product Description

First book that provides both theory and real world applications of fuzzy arithmetic in a comprehensive style.  

Provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences making it useful for graduate courses, researchers and engineers.

Presents the basic definitions and fundamental principles of fuzzy arithmetic, derived from fuzzy set theory.

Summarizes the state-of-the-art stage of fuzzy arithmetic, offers a comprehensive composition of different approaches including their benefits and drawbacks, and finally, and presents a completely new methodology of implementation of fuzzy arithmetic with particular emphasis on its subsequent application to real-world systems.

Concentrates on the application of fuzzy arithmetic to the simulation, analysis and identification of systems with uncertain model parameters, as they appear in various disciplines of engineering science.

Focuses on mechanical engineering, geotechnical engineering, biomedical engineering, and control engineering.

Product Description
The book focuses on both the engineering applications of fuzzy logic and soft computing and its social applications and philosophical insights at the dawn of the third millennium. The included papers clearly demonstrate that fuzzy logic revolutionizes general approaches to solving applied problems and reveals deep connections between those approaches and the underlying unique theoretical framework. The book consists of three parts: Understanding Society, Mathematics, and Modelling and Control Systems. The first part reveals different aspects of fuzziology, a new study of fuzziness inherent in human knowledge. The second part explores the mathematical foundations of soft computing, while the third part elicits its innovative engineering applications. ... Read more

Product Description
The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design. Unlike the academic monographs that have previously been published on each of these subjects, this book combines them and is based round case studies of systems analysis, control strategies, design, simulation and implementation. The result is a guide to applied control systems design that will appeal equally to students and professional design engineers. The book can also be used as a unique VHDL design aid, based on real-world power engineering applications.

*Introduces cutting-edge control systems to a wide readership of engineers and students
*The first book on neuro-fuzzy control systems to take a practical, applications-based approach, backed up with worked examples and case studies
*Learn to use VHDL in real-world applications ... Read more

Product Description
Cats are famous for being aloof, but "cat-titude" reaches new heights in Get Fuzzy, the bitingly funny comic strip from cartoonist Darby Conley.Wry and witty, Get Fuzzy is a hilarious portrait of single life with pets.Rob Wilco is the human who heads the household, but it's really Bucky the cat who's in charge.Satchel is a gentle pooch with a sensitive soul who tries to remain neutral but frequently ends up on the receiving end of Bucky's mischief.Together, this trio makes it through the trials and tribulations of daily life as an unlikely team.Darby Conley's first book was a runaway hit; this second, Fuzzy Logic, will likely hit the same funny bone of everyone who enjoys their pets with an attitude. ... Read more

Customer Reviews (60)

Very Good
I loved this book and it was nearly in perfect condition. I give it an A

Funny!
these books just crack me up, my only complaint is they are too short! I never want to put them down, and read the whole thing in one sitting.

A Get Fuzzy Reading Guide
I won't go into how fantastic this comic strip is, but it is easily my favorite comic strip of all time. :)

For the uninitiated, there are eight collections so far and three treasuries.The fourth treasury is not yet released.

Please keep in mind that each treasury is two collections put together, so as far as I know the treasuries are the same as two of the collections, except I believe the treasuries have the Sunday comics in color while the collections have them in black and white.

In chronological order, the collections are:

1. The Dog is Not a Toy: House Rule #4
2. Fuzzy Logic: Get Fuzzy 2
3. The Get Fuzzy Experience
4. Blueprint for Disaster
5. Say Cheesy: A Get Fuzzy Collection 5
6. Scrum Bums
7. I'm Ready for My Movie Contract: A Get Fuzzy Collection
8. Take Our Cat, Please: A Get Fuzzy Collection

The treasuries are:

1. Groovitude (encompassing collections 1 and 2).
2. Bucky Katt's Big Book of Fun (encompassing collections 3 and 4).
3. Loserpalooza (encompassing collections 5 and 6).
4. The Potpourrific Great Big Grab Bag of Get Fuzzy (encompassing collections 7 and 8). (not yet released - release date is currently 9/1/08)

These comics are beyond hilarious, and I would highly recommend them to pet lovers/haters of all ages. :)

Fuzzy Logic, wonderful as always
What is so amazing to me is that Get Fuzzy has from the very beginning been extremely funny and the charactersfully conceived.The level of excellence and humor is always in place.One can't go wrong getting a Fuzzy book.A great present for the entire household and important for those who collect Get Fuzzy and want to be able to return to Fuzzy world just by opening a book.

I love Bucky
What can I say, I'm a sucker for Bucky and Sachel.This book is a compilation of past strips that are wonderfully hilarious. ... Read more

Product Description
This volume is an accessible introduction to the subject of many-valued and fuzzy logic suitable for use in relevant advanced undergraduate and graduate courses. The text opens with a discussion of the philosophical issues that give rise to fuzzy logic - problems arising from vague language - and returns to those issues as logical systems are presented.For historical and pedagogical reasons, three-valued logical systems are presented as useful intermediate systems for studying the principles and theory behind fuzzy logic. ... Read more

Customer Reviews (1)

lucid and excellent overview
Merrie Bergmann's work is extremely readable and lucid on a difficult and convoluted topic. Bergmann was responsible for the lucid semantic sections of Bergmann, Moor, and Nelson's The Logic Book. IMHO this is by far the best introductory symbolic logic text available. Bergmann has a real talent for presenting formal logical ideas of a most advanced sort in an accessible manner. Bergman's treatment is highly up to date. She is both formally proficient and philosophically astute. Despite her philosophical ability she had to move from the Philosophy Department at Dartmouth to the Computer Science department at Smith, hardly a salary demotion, but the partial loss to the phlosophy profession of a highly insightful and illuminating thinker.

Her major focus is on the use of many-valued and fuzzy logics to deal with vagueness. She understands a fuzzy logic as an infinite valued logic, rather than a probabilistic logic that assigns a probability weight to propositions. One cannot do better than this work on this topic ... Read more

Product Description
Fuzzy logic is the next wave in technology. Japanese electronics giants have, in the last ten years, already staked their commercial future on the benefits of fuzzy production; only recently have European and US companies begun to catch up. Fuzzy logic sanctifies vagueness. It prescribes a new way of thinking about machines, about science, ambiguity, confusion and contradiction. ... Read more

Customer Reviews (47)

fuzzy
por medio de ustedes compre otro por que cuando solicite este no tenian

Revolutions take time
I just re-read this book after a gap of several years. I remember being very excited by Kosko's ideas the first time through, and this second read was equally good.

That's not to say that this is an easy read or even a particularly fun read. Like other pioneers, Kosko has had to battle to advance and defend his ideas, which gives the book a somewhat pugnacious quality. Kosko also throws in a bit of everything, from some of the basic mathematics of fuzzy sets to some of his personal experiences, philosophy, and speculations about the future.

The great value, however, lies in his crystal clear exposition of fuzzy sets, fuzzy logic, and fuzzy systems.

Several reviewers have really missed the point, criticizing Kosko for using Aristotelian true/false logic in presenting fuzzy ideas, as if this revealed an inconsistency. Kosko makes it perfectly clear that Aristotelian, black/white logic and the mathematics that derive from it are a completely valid special case of fuzzy logic. Just as relativistic physics reduces to Newtonian solutions at low velocities and densities, fuzzy logic reduces to Aristotelian logic in the special case of axiom-based mathematics.

Kosko's crucial point is that, as opposed to the world of mathematics, the real world is always fuzzy. From quarks to clusters of galaxies, the objects we perceive, conceptualize, and use science and math to try to understand have fuzzy boundaries, both physically and conceptually.

Kosko's step-by-step exposition of how to define fuzzy concepts, fuzzy sets, and fuzzy systems, and how to work with them mathematically and practically, remains eye-opening to anyone who still does not really understand what fuzzy logic is all about.

One proof is in the products that continue to flow from the use of fuzzy systems. The smart cameras that focus quickly and smoothly, recognize faces, and adjust to complex light situations use fuzzy logic. The adaptive control systems that hide away in your new car use fuzzy logic. Embedded intelligence is the new watchword, and most of that intelligence is fuzzy.

In contrast, applying bi-valent thinking to real-world problems continues to spin off stupidities, such as children kicked out of school for being caught with an aspirin in violation of a zero-tolerance rule, judges feing forced to sentence peoople to prison for years for minor crimes that ring the three-strikes bell, and hundreds of other extreme and disproportionate reactions that flow from our several-thousand-year-old habit of trying to split continua into polar opposites.

I continue to find the ideas of fuzzy logic and fuzzy systems freeing and enlightening. I'd like to see these ideas taught in our schools, understood by everyone, and applied everywhere.

If you haven't read a good explanation of fuzzy logic, read this book. If you think you know something about it and want to know more, read this book. If you want to have a tool that helps you break out of your own deeply conditioned habits of true/false thinking, read this book!

3.5 stars-An above average presentation of the fuzzy logic revolution with some significant oversights
This book incorporates a general discussion of the fuzzy logic paradigm,which was started in 1965 with an article by L Zadeh.Kosko's contributions in this field are incorporated within a framework of bibliographic sketches that bring a personal note to the book.It incorporates a philosophical emphasis on the vagueness of reality and the decision making context faced by the individual.Philosophers Bertand Russell and Max Black ,for instance ,provide support for the epistemological view of fuzzy logic.Unfortunately,Zadeh and Kosko appear to be ignorant of the fact that their general approach is not original.Certainly they havepresented a very specific variation on a theme.However,it was George Boole(Laws of Thought,1854,chapters 16-21),John Maynard Keynes(A Treatise on Probability,1921,chapters 3, 15,17,20,and 22 ),and Theodore Hailperin,who demonstrated that the interval estimate approaches of Boole(upper-lower limits) and Keynes(indeterminate probabilities,non numerical probabilities,approximate probabilities) could be translated into a linear programming approach in 1965.Books on this topic followed in 1976,1986,and 1996..One must also mention the ambiguous probabilites of Daniel Ellsberg in his seminal 1961 article in the Quarterly Journal of Economics.Kosko's discussion of his view of an uncertainty principle could have benefited greatly from an understanding of Keynes's own approach to uncertainty,which underlies his The General Theory of Employment,Interest and Money(1936).

Horrible
There might be something interesting or even brilliant in this book, but it's impossible to get past his hubris.The reader is supposed to be impressed with his lifestyle and his exploits, but it's just arrogant drivel.It's like a pathetic nerd's "American Psycho", but the butchering of his contemporaries' ideas is only in his imagination.

Hard to get past Kosko's arrogance
When FT sticks to rigorous exposition -- of the science, history, and philosophical underpinnings of Fuzzy Logic -- it's a fine book.For all of BK's obvious intelligence (he's a major contributor to the fuzzy science field and a deep thinker on a range of subjects), he is also exceedingly, distractingly, and tiresomely arrogant -- the arrogance of youth, perhaps.I'll be interested to read BK's scientific writings, but am less inclined to read his other popular works.FT has a lot of wheat, but loads and loads of chaff as well. ... Read more

Product Description
Introductory text in fuzzy logic, for those who have no previous experience with the topic. Aims to demonstrate to the reader how one can apply fuzzy theory to real problems, explaining the basics of the theory itself, and fundamental applications of the theory in modern life. Softcover, hardcover not yet available. ... Read more

Customer Reviews (5)

huge disapointment
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.

This book says nothing!
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.

Its for beginners, it says so in the title.
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.

Don't Waste Your Time
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!

Fuzzy Translation for Logic Beginners
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. ... Read more

Product Description
What is fuzzy logic?--a system of concepts and methods for exploring modes of reasoning that are approximate rather than exact. While the engineering community has appreciated the advances in understanding using fuzzy logic for quite some time, fuzzy logic's impact in non-engineering disciplines is only now being recognized. The authors of Fuzzy Logic in Geology attend to this growing interest in the subject and introduce the use of fuzzy set theory in a style geoscientists can understand. This is followed by individual chapters on topics relevant to earth scientists: sediment modeling, fracture detection, reservoir characterization, clustering in geophysical data analysis, ground water movement, and time series analysis.




George Klir is the Distinguished Professor of Systems Science and Director of the Center for Intelligent Systems, Fellow of the IEEE and IFSA, editor of nine volumes, editorial board member of 18 journals, and author or co-author of 16 books

Foreword by the inventor of fuzzy logic-- Professor Lotfi Zadeh ... Read more

Product Description
In a direct appeal to the short-sightedness of American companies, visionary computer scientists explain fuzzy logic--a revolutionary new computer technology--and show how it is already being used in Japan. 30,000 first printing. Tour. ... Read more

Customer Reviews (1)

Learn a way to make computers more
Classical logic forces all actions to be described by a rigid sequence of two option rules. By applying enough such rules, it is possible to eventually reach a reasonable approximation to the problem in question. However, such a method is cumbersome at best, so in 1964, Lotfi Zadeh, a professor of electrical engineering, invented a new reasoning system base on imprecise rules. Since the values are now placed within specified ranges, the system was given the unfortunate name "fuzzy ." Eventually ignored and at times vilified by the academic community in the United States, fuzzy logic is now beginning to be widely used in commercial products.
In another instance of what seems to be the most common business theme of the decade of the '80s, it was Japanese industry that took the American ideas and made them commercially viable. Many products now incorporate fuzzy reasoning systems, with no end in sight regarding the spectrum of applications. The performance gains of fuzzy logic over other options is at times astounding.
Equally surprising is the simplicity of fuzzy reasoning. Most events in the human experience are not sharply demarcated. Night does not "fall," but slowly floats down like an aging helium balloon. Fuzzy systems mimic this by assigning a numeric value to qualifying words such as "very ," "slightly ," and "remotely ." The most common scale uses the range from zero to one inclusive. Since zero can be considered FALSE and one TRUE, classical logic is a limiting subset of fuzzy logic. For example, the phrase "very possible" could be assigned a truth value of 0.90, "slightly possible" a value of 0.05, and "remotely possible" a value of 0.005. Fuzzy OR then takes the largest value of the two variable, AND the minimum of the two and the negation is computed by taking one minus the fuzzy value.
This book introduces the basic notions of fuzziness, but concentrates more on the history as an ignored discipline and the recent commercial successes. It is amazing to learn that the vast majority of "fuzzy thinkers" are found in Asia. Comparisons between the differences in Western and Eastern philosophy are made in an attempt to explain this. For example, the Japanese language is inherently much more vague than western languages.
If you are interested in learning the first notions of fuzzy reasoning, this book is a good non-technical place to start. And if the applications continue to grow, that interest may become a required taste.

Published in Journal of Recreational Mathematics, reprinted with permission. ... Read more

Product Description
Provides the reader with comprehensive coverage of theoretical foundations of fuzzy set theory and fuzzy logic, as well as a broad overview of the increasingly important applications of these novel areas of mathematics. DLC: Fuzzy sets. ... Read more

Customer Reviews (5)

Not just fuzzy
This book makes a parallel between regular math concepts and the ones that are used in the fuzzy logic. This was very evident to me when I was working with linear algebra, more precisely with linear programming. Nice book to have, even if this is only to know more about the subject than to really work with it.

Care is needed
I would hesistate to give anything less than a 5 star review to anything on fuzzy set theory in the wide sense.Make no mistake reading this book is worth your time.Yet, some significant problems do exist with this text.
First off, read the proofs in this carefully and figure out if they do work.Klir and Yuan know that appealing to contradiction in theorem proving doesn't often work out in fuzzy theory.Yet, they go ahead and use it almost recklessly.One example is their proof on fuzzy numbers that says that they are all continuous on pages 99 to 100.After about a full, condensed page of mathematical reasoning they say that left fuzzy numbers are continuous from the left and that right fuzzy numbers are continuous from the right.After their supposed "proof" they claim that "The implication of Theorem 4.1 is that every fuzzy number be represented in the form of (4.1)."4.1 shows a discontinuous fuzzy number.A jump discontinuity to speak more specifically.Consequently, their supposed "theorem" doesn't exactly work as a "theorem".Perhaps I misunderstand and they have some different idea of continuity.I don't get it though and neither does any other mathematician, as any break in a function whatsoever means discontinuity.
More interestingly, some of their axioms for fuzzy set don't hold.For instance, on page 62 Axiom i1 (i for intersection) says that i(a, 1)=a, which they label as the "boundary conidition."This does hold for drastic products.However, it doesn't hold for all fuzzy intersections.As Buckley and Eslami point out the axioms or necessary conditions for fuzzy intersections work out as "(1) 0<=a, b<=1 and i(a, b) is in
[0, 1]; (2) i(1, 1)=1; and (3) i(0, 1)=i(1, 0)=i(0, 0)=0."Consquently, (ab)/max{a, b, .5} qualifies as a fuzzy intersections.Here i(.6, .4)=.24/.6=24/60=2/5=.4
I don't exactly mean the above to significantly downgrade the work of Klir and Yuan.Their collection of papers of Zadeh does have signficant value, even if it costs a lot.The sheer enormity and very comprehensive nature of this quasi-encyclopedia makes it worth the read.The problems are interesting and challenging, if you choose to do them.I do appreciate the authors mentioning that the problems are meant to enchance the reader's understanding.That Klir and Yuan provide a comprehensive bibliography and consulted many, many original papers before and while writing their text alone indicates they do know something and did some thinking here.Their graphs do help to illustrate their ideas.So, I do advise that you read the book.Just read carefully.

First bible of fuzzy systems theory since Dubois and Prade.
A comprehensive and authoritative presentation of developments in themathematics of fuzzy systems theory over the past thiry years. While thebasic mathematics are presented, this book is not for the casual reader,but for those seriously interested in fuzzy systems theory. If the readerdoes not have a good mathematical background, he or she will find this booktough going. Coverage of theoretical fuzzy concepts is quite complete,including theory of fuzzy sets, fuzzy arithmetic, fuzzy relations,possiblity theory, fuzzy logic and uncertainty-based information.

Theapplications section presents theory which could be useful in applicationsrather than the applications themselves. References are given, but nodistinction is made between theoretical work and real-world applications,and many of the references are old and out-of-date.

For a reference bookon fuzzy mathematics, this book is superb; as a pointer to real-worldapplications, it leaves something to be desired.

Robust treatment of fuzzy logic has interdisciplinary appeal
George and Bo have been as thorough and lucid in preparing this book aswell as George explicated systems thinking in the very first book of his Iread, "An Approach to General Systems Theory." Here, as there,without compromising mathematical rigor, the goal of this book is toelaborate its subject matter in such a robust manner that it hasmultidisciplinary appeal. As always, the reader is given a flexible, almostinteractive, access to the what, why and how of fuzzy thinking. Despite theexception taken by Professor Lotfi A. Zadeh, the "founder of fuzzylogic," the percipient reader will appreciate the authors' unusualassociation of "fuzzy measure," that is, the degree of beliefthat a particular element belongs to a crisp set, (not the degree ofmembership in the set), with Possibility Theory so as to clarify thedifferences between fuzzy set theory and probability theory. Theillustrative applications are not only case studies that one may pick andchoose from for examination and emulation but also constituteincontrovertible evidence of the successful and promising realization ofthe fuzzy paradigm. As a former professor of engineering at RutgersUniversity, I found the 79-page Instructor's manual helpful for self- orextended study and Iassume it would be valuable for teaching. I have readmany books on fuzzy logic and I judge this to be the most balanced to date,(early 1998), - not filled with C++ code or trying to sell a softwarepackage nor is it theoretically daunting - it is simply an invitingdemonstration of how fuzzy logic clears up foggy modeling and analysis.

One of the most important book to learn about fuzzy logic
The book presents the mathematical theory of fuzzy logic including theorems and demonstrations. There are one part of applications of this logic in many distint areas like engineering, medicine, economics and others. ... Read more

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Fuzzy logic enables people preparing environmental impact statements to quantify complex environmental, economic and social conditions.  This reduces the time and cost of assessments, while producing justifiable results.  ... Read more

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The book deals with similarity relations defined on a set with functions. The functions are required to map similar elements to similar ones. The book presents basic mathematical properties of structures consisting of similarity-preserving functions and logics for reasoning about similarities. The presented text is self-contained. The notions and results are demonstrated through examples which are graphically illustrated. The book is useful for researchers, but it can also be used as a graduate text. ... Read more