A First Course in Fuzzy Logic, Third Edition (Hardcover)

by Hung T. Nguyen (Author), Elbert A. Walker (Author) "In this opening chapter,we will discuss the intrinsic notion of fuzziness in natural language..." (more)
Key Phrases: conditional fuzzy measures, nonadditive set functions, comonotonic additive, Jane Doe, Prove Theorem, Prove Proposition (more...)

Editorial Reviews

Product Description
A First Course in Fuzzy Logic, Third Edition continues to provide the ideal introduction to the theory and applications of fuzzy logic. This best-selling text provides a firm mathematical basis for the calculus of fuzzy concepts necessary for designing intelligent systems and a solid background for readers to pursue further studies and real-world applications. New in the Third Edition: · A section on type-2 fuzzy sets - a topic that has received much attention in the past few years · Additional material on copulas and t-norms · More discussions on generalized modus ponens and the compositional rule of inference · Complete revision to the chapter on possibility theory · Significant expansion of the chapter on fuzzy integrals · Many new exercises With its comprehensive updates, this new edition presents all the background necessary for students and professionals to begin using fuzzy logic in its many-and rapidly growing- applications in computer science, mathematics, statistics, and engineering.

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, --This text refers to an out of print or unavailable edition of this title.

Product Details

• Hardcover: 440 pages
• Publisher: Chapman & Hall/CRC; 3 edition (October 6, 2005)
• Language: English
• ISBN-10: 1584885262
• ISBN-13: 978-1584885269
• Product Dimensions: 9.3 x 6 x 1.1 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.8 out of 5 stars See all reviews (4 customer reviews)
• Amazon.com Sales Rank: #906,600 in Books (See Bestsellers in Books)

  Popular in these categories: (What's this?)

  #41 in	Books > Computers & Internet > Programming > Algorithms > Fuzzy Logic
  #72 in	Books > Science > Mathematics > Pure Mathematics > Set Theory
  #77 in	Books > Professional & Technical > Professional Science > Mathematics > Pure Mathematics > Set Theory

Customer Reviews

Most Helpful Customer Reviews

34 of 35 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.

1 of 1 people found the following review helpful:

5.0 out of 5 stars Excellent introduction Fuzzy Logic theory, November 26, 2008

By	W. Ghost (Brazil) - See all my reviews

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.

18 of 28 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.