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

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Lefteri Tsoukalas

Fuzzy Logic

Applications in Artificial Intelligence, Big Data, and Machine Learning

Lefteri Tsoukalas

$140.95

Paperback

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English

McGraw-Hill Education
10 January 2024

Databases; Machine learning; Neural networks & fuzzy systems

Fuzzy logic principles, practices, and real-world applications

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.

Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.

Serves as a classroom guide and as an on-the-job resource Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students Written by an expert in the field and experienced author

By: Lefteri Tsoukalas
Imprint: McGraw-Hill Education
Country of Publication: United States
Weight: 447g
ISBN: 9781264675913
ISBN 10: 1264675917
Pages: 176
Publication Date: 10 January 2024
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Lefteri H. Tsoukalas is a professor of engineering and founding director of the AI Systems Lab at Purdue University. He has three decades of experience in intelligent systems with over 300 research publications and is the author of Fuzzy and Neural Approaches in Engineering. Dr. Tsoukalas is a fellow of the American Nuclear Society and the 2009 recipient of the Humboldt Prize.