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A First Course in Fuzzy Logic, Second Edition
 
 

A First Course in Fuzzy Logic, Second Edition [Hardcover]

Hung T. Nguyen (Author), Elbert A. Walker (Author)
4.8 out of 5 stars  See all reviews (4 customer reviews)


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Hardcover, July 21, 1999 --  
There is a newer edition of this item:
A First Course in Fuzzy Logic, Third Edition A First Course in Fuzzy Logic, Third Edition 4.8 out of 5 stars (4)
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Book Description

0849316596 978-0849316593 July 21, 1999 2
The second edition of the popular A First Course in Fuzzy Logic will continue to provide the ideal introduction to the theory and applications of fuzzy logic. The authors provide a firm mathematical basis for the calculus of fuzzy concepts-necessary to design intelligent systems-and give the student a solid background for further studies and real-world applications.

This new edition provides many new exercises designed to enhance the reader's understanding of the concepts. The authors have expanded on the algebra background needed for the more advanced topics, and include significant new material on basic connectives and the algebraic properties of fuzzy logic, rough sets, conditional events, distributions of random sets, and derivatives of fuzzy measures.

With its comprehensive updates, A First Course in Fuzzy Logic, Second Edition presents all the background necessary for students to begin using fuzzy logic in its many-and rapidly growing-applications.


Editorial Reviews

About the Author

Nguyen; Hung T. New Mexico State University, Las Cruces, New Mexico, USA,Walker; Elbert A. New Mexico State University, Las Cruces, New Mexico, USA,

Product Details

  • Hardcover: 392 pages
  • Publisher: CRC Press; 2 edition (July 21, 1999)
  • Language: English
  • ISBN-10: 0849316596
  • ISBN-13: 978-0849316593
  • Product Dimensions: 9.6 x 6.4 x 1 inches
  • Shipping Weight: 1.6 pounds
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #3,183,173 in Books (See Top 100 in Books)

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Customer Reviews

4 Reviews
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Average Customer Review
4.8 out of 5 stars (4 customer reviews)
 
 
 
 
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36 of 39 people found the following review helpful:
4.0 out of 5 stars A First Course in Fuzzy Logic, December 21, 1999
By 
Darrell Waldron (Vestaburg, Michigan USA) - See all my reviews
(REAL NAME)   
This review is from: A First Course in Fuzzy Logic, Second Edition (Hardcover)
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.
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7 of 8 people found the following review helpful:
5.0 out of 5 stars Excellent introduction Fuzzy Logic theory, November 26, 2008
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.
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21 of 33 people found the following review helpful:
5.0 out of 5 stars Outstanding, for people who are interested in this area, September 21, 1999
By A Customer
This review is from: A First Course in Fuzzy Logic, Second Edition (Hardcover)
This is the clearest explanation and application of fuzzy logic that has been published. It is thorough, without being arcane or pedantic.
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Inside This Book (learn more)
First Sentence:
In this opening chapter,we will discuss the intrinsic notion of fuzziness in natural language. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
conditional fuzzy measures, nonadditive set functions, comonotonic additive, fuzzy propositional calculus, fuzzy measure space, literals for each variable, fuzzy partial order, fuzzy equivalence relation, natural negation, fuzzy quantities, fuzzy quantity, fuzzy integrals, bounded distributive lattice, fuzzy subset, averaging operator, fuzzy partition, bounded lattice, fuzzy case, truth valuations, join irreducibles, fuzzy interval, fuzzy predicate, complete lattice, fuzzy relation, covering function
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Jane Doe, Prove Theorem, Prove Proposition
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