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Fuzzy Logic for Beginners
 
 
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Fuzzy Logic for Beginners [Paperback]

Masao Mukaidono (Author)
2.0 out of 5 stars  See all reviews (6 customer reviews)

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Book Description

February 28, 2001 9810245343 978-9810245344
There are many uncertainties in the real world. Fuzzy theory treats a kind of uncertainty called fuzziness, where it shows that the boundary of yes or no is ambiguous and appears in the meaning of words or is included in the subjunctives or recognition of human beings. Fuzzy theory is essential and is applicable to many systems - from consumer products like washing machines or refrigerators to big systems like trains or subways. Recently, fuzzy theory has been a strong tool for combining new theories (called soft computing) such as genetic algorithms or neural networks to get knowledge from real data. This introductory book enables the reader to understand easily what fuzziness is and how one can apply fuzzy theory to real problems - which explains why it was a best-seller in Japan.

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Product Details

  • Paperback: 116 pages
  • Publisher: Wspc (February 28, 2001)
  • Language: English
  • ISBN-10: 9810245343
  • ISBN-13: 978-9810245344
  • Product Dimensions: 6.7 x 0.3 x 9.3 inches
  • Shipping Weight: 6.4 ounces (View shipping rates and policies)
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,813,490 in Books (See Top 100 in Books)

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7 of 8 people found the following review helpful:
3.0 out of 5 stars Fuzzy Translation for Logic Beginners, July 30, 2001
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This review is from: Fuzzy Logic for Beginners (Paperback)
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.

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5 of 6 people found the following review helpful:
1.0 out of 5 stars Don't Waste Your Time, May 9, 2005
This review is from: Fuzzy Logic for Beginners (Paperback)
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!
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1 of 1 people found the following review helpful:
1.0 out of 5 stars huge disapointment, May 12, 2007
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This review is from: Fuzzy Logic for Beginners (Paperback)
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.
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Inside This Book (learn more)
First Sentence:
Our common sense tells us making something ambiguous is actually bad. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fuzzy computer, fuzzy theory, fuzzy database, fuzzy expert system, disliked numbers, fuzzy graph, fuzzy control, fuzzy inference, face chart, fuzzy relation, fuzzy sets, membership value, membership function, dice numbers, crisp value, fuzzy rules, binary logic
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Von Neumann, Representing Fuzzy Rule, The Principle of Fuzzy Control, Using the Fuzzy Expert System
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