ABSTRACT

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to the theory and applications of fuzzy logic.

This popular text offers 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 Fourth Edition:

  • Features new results on fuzzy sets of type-2
  • Provides more information on copulas for modeling dependence structures
  • Includes quantum probability for uncertainty modeling in social sciences, especially in economics

With its comprehensive updates, this new edition presents all the background necessary for students, instructors and professionals to begin using fuzzy logic in its many—applications in computer science, mathematics, statistics, and engineering.

About the Authors:

Hung T. Nguyen is a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University. He is also an Adjunct Professor of Economics at Chiang Mai University, Thailand.

Carol L. Walker is also a Professor Emeritus at the Department of Mathematical Sciences, New Mexico State University.

Elbert A. Walker is a Professor Emeritus, Department of Mathematical Sciences, New Mexico State University.

chapter 1|16 pages

The Concept of Fuzziness

chapter 2|28 pages

Some Algebra of Fuzzy Sets

chapter 3|14 pages

Fuzzy Quantities

chapter 4|20 pages

Logical Aspects of Fuzzy Sets

chapter 5|94 pages

Basic Connectives

chapter 6|42 pages

Additional Topics on Connectives

chapter 7|28 pages

Fuzzy Relations

chapter 8|16 pages

Universal Approximation

chapter 9|24 pages

Possibility Theory

chapter 10|50 pages

Partial Knowledge

chapter 11|22 pages

Fuzzy Measures

chapter 12|30 pages

The Choquet Integral

chapter 13|16 pages

Fuzzy Modeling and Control