In Print: ‘Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning’

Publication title 

Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning

Purdue author

Lefteri H. Tsoukalas

Publisher

McGraw Hill

Publication date

October 2023

About the book (from the publisher) 

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, “Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning” is aimed at improving competence and motivation in students and professionals alike. 

About the Purdue author 

Lefteri Tsoukalas is a professor of nuclear engineering at Purdue University. He is also the principal investigator of the university’s Artificial Intelligence Systems Lab and works in the Center for Education and Research in Information Assurance and Security. Additionally, Tsoukalas is a fellow of the American Nuclear Society and served advisory and consulting positions for the United States Department of Energy; International Atomic Energy Agency; and the Agency for Science, Technology and Research in Singapore.

Tsoukalas’ research interests include neurofuzzy methodologies for complex power systems modeling, diagnostics and control, as well as energy policy and global resource analysis.

About the In Print series

To celebrate our faculty’s excellence in scholarship, Purdue Today’s weekly book series highlights faculty expertise across diverse subjects and disciplines. Find out more about the Purdue University Books Initiative and how to suggest a book for the In Print series on the Office of the Provost website.