Fuzzy Logic Concepts in Computer Science and Mathematics - Hardcover

Hardcover

ISBN 10: 1779643543 ISBN 13: 9781779643544

Publisher: Apple Academic Press, 2025

Synopsis

Fuzzy logic, a set of rules that can be used to reach logical conclusions from fuzzy sets of data, is a useful way of determining relevant relationships from imprecise data and has many uses in real-life applications. This new volume provides in-depth information and research on fuzzy logic and its many beneficial and versatile applications in diverse fields of engineering and other areas. It explores the varied applications of fuzzy logic in many sectors, such as in manufacturing and in the automotive industry, in the healthcare and allied health sciences, in mathematics and allied domains, in business and finance, in electronics and computer science, and more.

About this title

About the Author

Rahul Kar is working as a SACT-II Mathematics faculty at Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal. He is pursuing a PhD in Pure Mathematics at the University of Burdwan, India. He has worked as a guest faculty at the Guru Nanak Institute of Technology and two other colleges. He has published research papers indexed by Scopus and was an editor and reviewer for several national and international journals. He is now working as an editor on two mathematics books.

Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has published academic papers on public health and digital health and has been a keynote speaker at numerous international and national conferences. He serves as an editor for several book series and has worked with several journals, including EAI Endorsed Transactions on AI and Robotics, among others.

Gunjan Mukherjee, PhD, is an Associate Professor of Computational Science at Brainware University, India. He has published papers in journals and international conferences and has guided many BTech and MCA students. He also authored the school computer book series as well as a textbook on IT systems theory for engineering students. He is working a book on Python technology and question-and-answer-based books for students.

Biswadip Basu Mallik, PhD, is a Professor of Mathematics at the Institute of Engineering & Management, University of Engineering and Management, India. He has published research papers and book chapters as well as undergraduate-level books on engineering mathematics, quantitative methods, and computational intelligence. He has also published five Indian patents, edited 20 books, serves as a book series editor, and acts as Managing Editor of the Journal of Mathematical Sciences & Computational Mathematics.

Rashmi Singh, PhD, is a Professor of Mathematics at the Amity Institute of Applied Sciences, India. With 22 years of experience in academia and research, she has supervised many PhD, master’s, and undergraduate students. Her scholarly contributions include published research articles in national and international journals. She also serves as an editor and reviewer for a variety of peer-reviewed national and international journals. Currently, she is a guest editor for special issues of IEEE Transactions on Consumer Electronics and Measurement Sensors.

Edition details

• Publisher: Apple Academic Press
• Publication date: 2025
• Language: English
• ISBN 10: 1779643543
• ISBN 13: 9781779643544
• Binding: Hardcover
• Edition number: 1
• Number of pages: 298
• Editor: Kar Rahul, Chaudhary Aryan, Mukherjee Gunjan, Mallik Biswadip Basu, Singh Rashmi