Fuzzy-Logic Books

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.

This is the clearest explanation and application of fuzzy logic that has been published. It is thorough, without being arcane or pedantic.

this is 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!

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 are clearly labeled in the table of contents, making it easy to zero in on a topic. It is a College Text Book, with problems to solve at the end of each chapter. Selected problems have answers in the back of the book. Unfortunately, that wasn't the type of book that I expected or needed. I was looking more for the hands on, how to, type of book. That is the only reason it did not get 5 stars.

A comprehensive and authoritative presentation of developments in the mathematics of fuzzy systems theory over the past thiry years. While the basic mathematics are presented, this book is not for the casual reader, but for those seriously interested in fuzzy systems theory. If the reader does not have a good mathematical background, he or she will find this book tough 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.

The applications section presents theory which could be useful in applications rather than the applications themselves. References are given, but no distinction is made between theoretical work and real-world applications, and many of the references are old and out-of-date.

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

George and Bo have been as thorough and lucid in preparing this book as well as George explicated systems thinking in the very first book of his I read, "An Approach to General Systems Theory." Here, as there, without compromising mathematical rigor, the goal of this book is to elaborate its subject matter in such a robust manner that it has multidisciplinary appeal. As always, the reader is given a flexible, almost interactive, access to the what, why and how of fuzzy thinking. Despite the exception taken by Professor Lotfi A. Zadeh, the "founder of fuzzy logic," the percipient reader will appreciate the authors' unusual association of "fuzzy measure," that is, the degree of belief that a particular element belongs to a crisp set, (not the degree of membership in the set), with Possibility Theory so as to clarify the differences between fuzzy set theory and probability theory. The illustrative applications are not only case studies that one may pick and choose from for examination and emulation but also constitute incontrovertible evidence of the successful and promising realization of the fuzzy paradigm. As a former professor of engineering at Rutgers University, I found the 79-page Instructor's manual helpful for self- or extended study and I assume it would be valuable for teaching. I have read many 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 software package nor is it theoretically daunting - it is simply an inviting demonstration of how fuzzy logic clears up foggy modeling and analysis.

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.

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.

An Old (and "politically incorrect") saying states that behind every successful man, there is a supporting woman. Now, we all have a pleasurable possibility to once again confirm this saying by reading this wonderful book by Fay Zadeh, the wife of Professor Lotfi Zadeh.

This book is definitely not an Ode of a proverbial Oriental wife to her Husband and Master. It is full of love and joy and support, but with this love, she portrays her husband as she sees him, never hesitating to laugh at funny situations caused, e.g., by Zadeh's absent-mindedness or his collector spirit.

With numerous countries and continents visited, reading this book is like going on a wonderful world tour (often even with useful tips for fellow travelers). The descriptions of different countries and cities are charmingly subjective: Fay never hesitates to emphasize that, e.g., in her art preferences, she describes her own view; however, whether she describes places she enjoyed or places where her stay was not exactly relaxing, her descriptions are always funny and cheerful.

The book has lots of photos, and since the travels were mainly to the conferences, the reader has an extra pleasure, in addition to seeing the younger Zadeh, of seeing, in these photos, many well-known fuzzy researchers. Anecdotal stories contributed by several colleagues form a special appendix to the book. And please do not miss the last chapter, with culinary recipes: they are real and they are delightful.

Thanks to Mo Jamshidi, who inspired this book and helped publish it; thanks to Fay for writing it, and may I wish her and Lotfi good luck and many-many more years of happy life and happy travels together.

Fay Zadeh has done a truly marvelous job in recording everything wonderful that has happened through her life and her great many trips with Lotfi. It is an outstanding autobiography of a most unusual and talented couple who know the world and human beings so well. Her humorous but critical observations of people and their way of life are really unique, acute and amusing. We read the volume with a great deal of interest.

Fay Zadeh has written a fun and important book that gives a rare glimpse into the personal side of scientific discovery. It is at once both a thoughtful travelogue through the recent history of the information sciences and a contribution to the sociology of science itself.

Fay Zadeh has written an intimate, charming, and revealing account of her life with Lotfi Zadeh. Lotfi Zadeh is one of the most important computer scientists living today. Lotfi Zadeh has received numerous honours for his scientific work. He is best known for developing "Fuzzy Logic" along with its expansion into possibility theory and other aspects of "Soft Computing". These achievements enable people to computationally deal with impreciness.

While Zadeh's work is well known, his personal life and background are less so. Both Zadeh's are people of unusual character with many hobbies, interests, and hidden passions.

Fay Zadeh describes their life togeather; how they met in Tehran; how they later met again in New York; and, how they came to be a couple. Fay was born in Japan and lived in Manchuria, Latvia, and Germany. After Hitler's rise to power, her parent's moved to Tehran. Lotfi was born in Baku, Azerbaijan and moved to Tehran to study; where they first met.

While he is scientifically world reknown, it is also well known that Lotfi Zadeh is very courteous, kind, and generous. However, before this book, his private life was not well known. Fay has opened the door wide to reveal a rich and complex shared life.

The advent of powerful and friendly integrated software has moved Advanced process control (APC) from the realm of consultants into the arena of the average process control engineer. The obstacles of infrastructure and special skills requirement have started to disappear and we are poised for an accelerated application of APC.

Until recently most of this knowledge ended up with consultants, and the success of the application often deteriorated once they departed. There is now an opportunity to for the engineers closest to the process and daily operations to take a much more active role in the development and support of APC applications.

This book serves a bridge for industrial practitioners of Process Control to enter into the world of APC applications. Greater understanding, support and involvement of onsite engineers can increase the success rate and longevity of any APC project and application.

The book focuses on practice and applications, backed up by enough theory to insure a deeper understanding. The book demystify APC and makes it more accessible.

I am an Industrial Practitioner of Process Control. I have been working for more than 16 years as an Instrumentation, Automation, and Process Safety and Control Engineer for the Oil & Gas Industry. This book helped me to get a better understanding of APC in order to identify possible opportunities for its applications on my job.

Excellent resource for those seeking to bridge between traditional control and Advanced Process Control. It is easily read and understood. For each topic there is the recommended practical approach, followed by examples: followed by a concise theory section. The CD is an excellent tool for improving skills and extending the understanding of APC. There are several topics coverd by this book and they are covered very well. Chapters 2 & 3 as well as Appendix D (Top 20 Mistakes Made Today & Every Day for the Last 40 Years) are exceptional value and the price of the book is covered by these chapters alone.

This is a fantastic book for someone who is interested in implementing an advanced controls project, but may have been intimidated in the past with the complex math, tools, etc...The first two chapters have a about 1000 years of practical experience in the proper use of final control elements (valves, transmitters, drives, etc...). Highly recommended!

Kosko done a nice job by bring in the best fuzzy application design potentials by telling us what is fuzzy (additive fuzzy system) and why fuzzy, get it for yourself, if your are working on fuzzy system.

This book is great, it covers from "What is Fuzzy" to "Fuzzy Chaos" ... in the book you can find all the information needed ...

Kosko done a nice job by bring in the best fuzzy application design potentials by telling us what is fuzzy (additive fuzzy system) and why fuzzy, get it for yourself, if your are working on fuzzy system.

It's a great book! Introduce the presentation covering the basic topics in Genetic Algorithm and Fuzzy Logic. The methodologies of the Genetic Fuzzy Systems are presented in a very clear way.

The volume brings an outstanding presentation of the major issues, ideas, concepts and algorithms to design and develop fuzzy systems using gentic algorithms. A field of major relevance for researchers and practioners, genetic fuzzy systems provides a major methodological substract of significant impact in practice. The book is unique in its contents and presentation. Chapters begin with the key concepts and smoothly grows to advanced concepts in a clear and very understandable and motivating way. The material mirrors the state of the art in the area of genetic fuzzy systems and contains the most recent results available until its publication. Written by renowned, internationally recognized researchers, the book is mandatory to all who are interested in the field of computational intelligence, its foundations and applications.

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy
systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn
the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy
systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning
processes in fuzzy systems: the Michigan, Pittsburgh and Iterative-learning methods. Finally, it explores hybrid genetic fuzzy systems such as
genetic fuzzy clustering or genetic neuro-fuzzy systems and describes a number of applications from different areas. Genetic Fuzzy System represents a comprehensive treatise on the design of the fuzzy-rule-based systems using genetic algorithms, both from
a theoretical and a practical perspective. It is a valuable compendium for scientists and engineers concerned with research and applications in
the domain of fuzzy systems and genetic algorithms.

This is a book by Springer Verlag that came out if 1999. This book introduces a lot of useful statistical tools and has chapters written by statisticians and computer scientists. The editors also contribute. They emphasize useful tools and computer tools. It includes material from the artificial intelligence literature including fuzzy set logic, genetic algorithms and expert systems. There is some discussion of data mining, Bayesian methods and neural networks.

Chapters are written on an elementary level for students and pratictioners of modern data analysis techniques. Written mainly as a text but expanded to cover topics of interest to researchers in statistics and computer science by subject matter experts. The last chapter on Systems and Applications by Xiaohui Liu includes coverage of data quality. Among the references on data quality and outlier detection is the book edited by Wright "Statistical Methods and the Improvement of Data Quality". That book was a collection of papers from a conference held in Oak Ridge Tennessee in 1982. That volume was published by Academic Press in 1983. It is not often sighted in the statistical literature but it did contain a number of interesting papers. I contributed a chapter on influence function methods for outlier detection to the Academic Press book.

Hand has written many books on statistics and especially some excellent texts on classification and pattern recognition. His recent work on data mining was published in 1999 by MIT press, a volume he coauthored with Mannila and Smyth. it is one of teh few data mining texts that is highly regarded by the statistical community. Much of that work in referenced in this book particularly in Chapter 1, the overview chapter on intellegent data analysis that Hand wrote himself.

Resampling methods, generalized linear models, Bayesian methods, time series, multivariate analysis, random effects models and entropy are all covered with nice elementary introductions.

This is a great reference source with over 440 articles and books in the list of references.

This book provides a detailed presentation of several important approaches to intelligent data analysis. It has ten chapters, each chapter written by a different technical specialist. The book could well serve as a text for a graduate level course on data analysis. It also works well as a reference. There are many useful illustrations and examples.

The first part of this book is focused on classical statistical issues. Arguably, anyone seeking to perform advanced data analysis should have a working knowledge of this area. It is my personal observation that, unfortunately, many workers do not. This book provides a good way of gaining a broad understanding of statistical methods. My only caveat is that the discussion of naïve Bayesian classifiers could have been more extensive. (The chapter on general Bayesian classifiers is other wise well done.) Naïve Bayesian classifiers have been reasonably successful in machine learning and a more in depth treatment would have been useful.

The later chapters focus on machine learning. They provide useful introductions into: induction, neural networks, fuzzy logic, and stochastic search. These chapters are particularly useful to workers contemplating how to best perform advanced analysis of complex, large, and possibly imprecise data sets. Consequently, someone contemplating data mining or other intelligent data analysis applications should seriously consider acquiring this book.

This is a book by Springer Verlag that came out if 1999. This book introduces a lot of useful statistical tools and has chapters written by statisticians and computer scientists. The editors also contribute. They emphasize useful tools and computer tools. It includes material from the artificial intelligence literature including fuzzy set logic, genetic algorithms and expert systems. There is some discussion of data mining, Bayesian methods and neural networks.

Chapters are written on an elementary level for students and pratictioners of modern data analysis techniques. Written mainly as a text but expanded to cover topics of interest to researchers in statistics and computer science by subject matter experts. The last chapter on Systems and Applications by Xiaohui Liu includes coverage of data quality. Among the references on data quality and outlier detection is the book edited by Wright "Statistical Methods and the Improvement of Data Quality". That book was a collection of papers from a conference held in Oak Ridge Tennessee in 1982. That volume was published by Academic Press in 1983. It is not often sighted in the statistical literature but it did contain a number of interesting papers. I contributed a chapter on influence function methods for outlier detection to the Academic Press book.

Hand has written many books on statistics and especially some excellent texts on classification and pattern recognition. His recent work on data mining was published in 1999 by MIT press, a volume he coauthored with Mannila and Smyth. it is one of teh few data mining texts that is highly regarded by the statistical community. Much of that work in referenced in this book particularly in Chapter 1, the overview chapter on intellegent data analysis that Hand wrote himself.

Resampling methods, generalized linear models, Bayesian methods, time series, multivariate analysis, random effects models and entropy are all covered with nice elementary introductions.

This is a great reference source with over 440 articles and books in the list of references.

What strikes me each time I open this book is Mr Kecman's sense of pedagogy: it is a lesson in the matter. Not only his book delivers the - sometimes complex - techniques in a highly readable manner, but the concepts behind each of the main tools (SVM, NN & FL) he chose to highlight are always brilliantly put in context. One comes out of the reading with more than a set of equations but rather with a clearer picture of the field.
Mr Kecman is - without a doubt - a great teacher.

This effort to deliver a clear message is furthermore underlined through the numerous original figures: if you are like me and feel that a (good) picture speaks more than a thousand words, you will sure appreciate the way the illustrations complement the text and truly help the understanding.

I have read several other books on the subject but if I had to chose one for teaching purposes, this would be the one. I you want to build a better understanding of the field, get this book: it will pay on the long term.

This book is a nice and, I would say, a successful attempt to provide a unified survey of important theoretical and practical machine learning tools: neural networks (NN), support vector machines (SVM) and fuzzy systems (FS).

Book consists of nine chapters, covering SVMs, one- and multi-layer perceptrons and radial-basis function networks, as variants of neural networks, and basics of fuzzy theory. This is followed by interesting case-studies (in financial, control and computer graphic applications) and concluded by basics of optimization theory and an overview of necessary mathematical tools. All the MATLAB programs needed for the simulated experiments are available on the book web site.

Authored by Vojislav Kecman, a prominent researcher in the field of soft computing and previous MIT visiting professor, this book is an excellent material for advanced undergraduate and introductory graduate courses in machine learning applications and soft computing....

This is a very good book. Another reviewer has commented on Vojislav Kecman being an excellent teacher. I whole-heartedly second that opinion. Often times, while reading this book, you will pause with a doubt or question. What you will find surprising is that almost certainly the author has answered that question in the next paragraph. Many times, the author's answers will tally your own answers.

The first chapter of the book (entitled: Learning and Soft Computing: Rationale, Motivations, Needs, Basics) is 119 pages long. It is an essential reading. By the time you finish reading this chapter the things will start falling into place and you will be more motivated and ready to read the remaining chapters. Until you are highly aware of this topic, do not skip this chapter.

A book is made up of a lot of things other than the text that it covers. Does it contain many/any stupid jokes? Is it printed on the highest quality paper? Is the font size good? Is it printed too dense? Is the cover page inviting enough? Are the dimensions/weight of the book correct? On all these counts the book scores high.

Consistent with the subject matter that it covers, this is not an easy book. You will perhaps like to read it with paper and pencil. But if you are willing to spend time with this book, this book will do a lot of good to you. This is a very good book.

This book shows using the program how fuzzy logic works.
There is a lot in the book
and it needs to be read a few times.

Read also

FUZZY LOGIC: THE REVOLUTIONARY COMPUTER TECHNOLOGY THAT IS CHANGING OUR WORLD
by Daniel Mcneil

The ideas in both are amazing.
page 107 is great here.

It's not theoretical or programming based, rather a superb description of what fuzzy logic can DO. The software is getting a bit out of date, but you can always download the latest demo version off their web site.

The book gives a clear and intuitive description of fuzzy math and its application. The discussions are done neatly and nicely. It doesn't get into hardcore math discussions very much; instead, it focuses on applications and practice. Therefore, it doesn't take much time to get the idea, and you are not bothered with very complex math proofs. The level of the theory is also limited to what needed in application. To my belief this is one of the best books for engineers and applied mathematicians.

This book is a kind of essential book. The growth in Fuzzy Science has showed more and more possibilities in applications of its concepts. The book shows the vast applicability of Fuzzy in details and how this new approach can be useful in domains with high degree of uncertainty.

I really can recommend the reading of this book for all persons who wishes understand more about Fuzzy !