A First Course in Fuzzy Logic

This fourth edition offers an in-depth introduction to fuzzy logic theory and applications, featuring updates on type-2 fuzzy sets, copulas, and quantum probability, making it ideal for students and professionals alike.

A First Course in Fuzzy Logic, Fourth Edition serves as an enhanced iteration of its predecessor, offering a thorough introduction to the principles and applications of fuzzy logic. This edition builds upon the solid foundation established in the previous version, providing readers with a comprehensive understanding of fuzzy concepts essential for designing intelligent systems. It is particularly valuable for those looking to delve deeper into the subject, whether for academic pursuits or practical applications.

The Fourth Edition introduces several new features that enrich the content. Notably, it presents updated findings related to type-2 fuzzy sets, which expand the framework of fuzzy logic. Additionally, the book provides greater insights into copulas, which are useful for modeling dependence structures. Another significant inclusion is the exploration of quantum probability, particularly its application in addressing uncertainty in social sciences, including economics. These updates ensure that readers are equipped with the latest developments in the field.

Authored by esteemed professors from New Mexico State University, including Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker, this book is designed to cater to students, educators, and professionals alike. With its rigorous mathematical foundation and comprehensive updates, A First Course in Fuzzy Logic is an essential resource for anyone interested in the diverse applications of fuzzy logic across various disciplines such as computer science, mathematics, statistics, and engineering.