Fuzzy-Logic

Kosko hits a home run here. Much better than his Fuzzy Thinking tome.

"The Fuzzy Future" is a wide-ranging work that attempts to integrate concepts from disciplines as diverse as physics, neurophysiology, and the social sciences. It's well-written, but not always easy to follow, due to the diverse subject matter. Definitely not "light reading"!

Kosko predicts the future within the framework of a paradigm shift from binary thinking to fuzzy logic. There is an extensive index to allow for easy reference and about 100 pages of footnotes that keep the technical jargon out of the primary text. The story flows like a science fiction novel in which the author is constantly surprising the reader with new insights into the way things may be. A great book that leaves you feeling enlightened and just plain smarter.

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.

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.

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 ...

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.

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 book is a peice of chocolate. In the first time i try to read this book , almost five hours has been gone and i didnot feel ... it is amazing .. The examples and the illustraions are very very easy and well clarified with the help of matlab examples. I am really happy that i got this book

The book provides a good overview to a wide disciplines of knowledge including fuzzy sets, neural nets, genetic algorithms and their composite use for developing high performance intelligent systems.The principles are explained with many examples and illustrations. The book is highly readable for its simplicity in presentation style. It is useful to anyone interested in this broad discipline.

i like solve any problem with fuzzy thought. i like this method. i like every one think about this subject.

This is a very very interesting book that provides different applications of fuzzy logic for building intelligent machines. Special attraction of the book is the application of fuzzy tools in mobile robotics for sensory uncertainty management, path planning and navigation. The book is highly readable and requires a little backgrond of fuzzy sets and systems. The book is useful for practitioners of fuzzy sets, robotics and intelligent systems in general.I believe that the readers will enjoy reading this book.

Introduces the reader to time and space issues in computer science. Truly a remarkable book that ranks along side works like "Concrete Mathematics" by Knuth and "Automata, Languages and Computation" by Ullman.

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.

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

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.