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

Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning provides a hands-on guide to fuzzy logic, covering its principles, practices, and real-world applications. It is aimed at improving competence and motivation in students and professionals, particularly in the context of pervasive digitization and big data. The book covers intelligent energy systems, smart homes, transportation electrification, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization, and includes a sample syllabus, test sets, and additional self-study resources.

Format: Paperback / softback
Length: 176 pages
Publication date: 22 November 2023
Publisher: McGraw-Hill Education

This comprehensive hands-on guide provides 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 aims to enhance competence and motivation in students and professionals alike. Inside, readers will explore how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies, which require a distinct man-machine relationship compared to traditional engineering, science, economics, and social sciences. The 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 an on-the-job resource, the book includes 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, this book is a valuable resource for anyone seeking to understand and apply fuzzy logic in their work.

Weight: 444g
Dimension: 156 x 236 x 19 (mm)
ISBN-13: 9781264675913