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Imagine a technology so revolutionary that it gives computers the ability to make decisions more like human beings. Professor Lofti Zadeh masterminded "fuzzy logic"--a way of programming computers to "make decisions" bases on imprecise data and complex situations. In "Fuzzy Logic," Daniel McNeill and Paul Freiberger relate the compelling tale of this remarkable new technology, the genius who brought it to life, and how it will soon affect the lives of every one of us.
- Sales Rank: #1771349 in Books
- Published on: 1994-04-14
- Released on: 1994-04-14
- Original language: English
- Number of items: 1
- Dimensions: 8.44" h x .80" w x 5.50" l, .64 pounds
- Binding: Paperback
- 320 pages
About the Author
Daniel McNeill is a writer living by the sea in Southern California. His books include:
FUZZY LOGIC. A best-seller and winner of the Los Angeles Times Book Prize.
THE FACE. "Downright beautiful." -- Washington Post
MORALS AND MARKETS (forthcoming, with Daniel Friedman).�
- "Fascinating on every page." -- George Akerlof, Nobel laureate in economics�
- "An engrossing and insightful read . . . should be mandatory reading for ideologues on both sides " -- Daniel McFadden, Nobel laureate in economics
- "The writing is exceptionally vivid, the conceptual framework penetrating. It's a real achievement." -- Kim Stanley Robinson, novelist, author of 2312 and Red Mars
- "The story is told masterfully." -- James Spohrer, Director, IBM University Programs World-Wide
- "Anyone interested in markets and morals--perhaps the central issue of our time--should read this very interesting and thoughtful book." -- Tyler Cowen, Professor of Economics, George Mason University
Most helpful customer reviews
11 of 12 people found the following review helpful.
Great intro to Fuzzy Logic
By A Customer
This was the first fuzzy book I read. Just picked it up randomly, wondering what fuzzy is all about. It's easy to understand, non-technical, and very enlightening. If you are curious about fuzzy logic, or want to explore what could result in a major step forward in machine "intellegence" check out this book. I only gave it an 8 (not 10) because Kosko's "Fuzzy Thinking" is the best I've read. This book is not on the same level, but still very good.
6 of 6 people found the following review helpful.
3.5 stars-Overall,an above average history of fuzzy logic with some rough spots
By Michael Emmett Brady
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 are L. 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 used modified 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.
13 of 17 people found the following review helpful.
History and Philosophy of Fuzzy Logic
By A Customer
'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...
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