Fuzzy Logic Concepts in Computer Science and Mathematics

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.

Rahul Kar is pursuing a PhD in Pure Mathematics at the University of Burdwan, West Bengal, India, and is currently working as a SACT-II Mathematics faculty at Kalyani Mahavidyalaya, Kalyani, Nadia, West Bengal. He has worked as a guest faculty at the Guru Nanak Institute of Technology and two other colleges. In total he has five years of teaching experience. He has published more than 10 research papers indexed by Scopus. He also worked as an editor of four national and international journals and reviewer for five international journals. He is now working as an editor on two mathematics books. He is an annual member of the Indian Mathematical Society as well as honorary member of the Carmels Research Institute, Dakar, Senegal. He has attended more than 10 international conferences and seminars as a paper presenter.

Aryan Chaudhary, the Chief Scientific Advisor at BioTech Sphere Research, India, is an eminent figure in the healthcare and technology landscape, renowned for his groundbreaking contributions and innovative leadership. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has showcased unparalleled expertise in harnessing revolutionary technologies, including artificial intelligence, deep learning, IoT, cognitive technology, and blockchain, to reshape the healthcare industry. With a relentless commitment to excellence, he has left an indelible mark as a thought leader. His extensive body of work includes influential academic papers on public health and digital health, published in prestigious international journals. A focal point of his research lies in the integration of IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. A distinguished keynote speaker at numerous international and national conferences, he serves as a series editor of a CRC Press book series and as the editor of several books on biomedical science. His dedication to advancing scientific knowledge is further evident as a guest editor for special issues in renowned journals. Notably, he is currently serving as a guest editor for a special issue in the esteemed journal EAI Endorsed Transactions on AI and Robotics and has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Recognized for his exceptional contributions, he has received prestigious accolades such as the ＂Most Inspiring Young Leader in Healthtech Space 2022＂ by Business Connect. His influence extends to senior memberships in various international science associations, showcasing his impact in the field. Recently, he has been appointed as the Chair for an ACM professional chapter and nominated as a member of the ACM U.S. Technology Policy Committee (USTPC) in the AI & Algorithms division.

Gunjan Mukherjee, PhD, is currently working as Associate Professor in the Department of Computational Science at Brainware University, Kolkata, India. His research interests include computer vision, machine learning, soft computing, image processing, etc. He is a life member of several organizations and has published a number of papers in different journals and international conferences. Dr. Mukherjee also guided many students of BTech and MCA in their projects and research works. He also authored the school computer book series (class 3 to 10) under his sole authorship and a textbook on IT systems theory for engineering students and is presently writing a book on Python technology (in press). He is currently attached to a reputed publishing house for publication of the question-and-answer-based books for diploma- and engineering-level students. He has acted also as the reviewer for many technical books. He worked as an assistant teacher at the Sree Aurobindo Institute of Education; as an education officer in CSI, Kolkata chapter; as a senior faculty in NIT Ltd; and as a lecturer at the Calcutta Institute of Technology. He also served as a visiting faculty at Aliah University, Techno India College, and JIS College. He completed his BSc in physics at Calcutta University, MCA at IGNOU, MTech at Calcutta University, and PhD degree in engineering at Jadavpur University, India.

Biswadip Basu Mallik, PhD, is currently an Associate Professor of Mathematics in the Department of Basic Science & Humanities at the Institute of Engineering & Management, University of Engineering and Management, Kolkata, India. With over 22 years of experience in teaching and research, he has published numerous research papers and book chapters in scientific journals from esteemed international publishers such as CRC Press, Apple, Wiley, IGI Global, Springer, Nova Science, IEEE etc. Dr. Basu Mallik has authored five undergraduate-level books on Engineering Mathematics, Quantitative Methods, and Computational Intelligence. He has also published five Indian patents and edited nineteen books. His research interests include Computational Fluid Dynamics, Mathematical Modeling, Optimization, and Machine Learning. He serves as the Series Editor for the book series titled Mathematics and Computer Science from Wiley-Scrivener, USA, and is the Managing Editor of the Journal of Mathematical Sciences & Computational Mathematics (JMSCM), USA. Additionally, Dr. Basu Mallik is an Editorial Board member and reviewer for several scientific journals. He holds senior life membership in the Operational Research Society of India (ORSI) and life membership in the Calcutta Mathematical Society (CMS), Indian Statistical Institute (ISI), Indian Science Congress Association (ISCA), and the International Association of Engineers (IAENG).

Rashmi Singh, PhD, is a distinguished Professor in the Department of Mathematics at the Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida. With 22 years of experience in academia and research, her expertise lies in nearness-like structures and near set theory, soft set theory, rough set theory, fuzzy subset theory, general topology, and the mathematics of Artificial Intelligence and Machine Learning (AI-ML). Dr. Singh earned her PhD in ＂＂Merotopic Structures in Fuzzy Subset Theory＂＂ from the prestigious University of Allahabad, Uttar Pradesh, India. Since 2001, she has been deeply involved in research, contributing significantly to her fields of interest. She also served as a research assistant at the Allahabad Mathematical Society from 2002 to 2005. Over her academic career, Dr. Singh has taught both postgraduate and undergraduate students, impacting the lives of learners for over 20 years. She has supervised four PhD candidates and guided more than 30 Masters and undergraduate students in their research. Her scholarly contributions include over 35 published research articles in reputed national and international journals. She is an active member of numerous professional bodies, including the Indian Science Congress Association, Indian Academy of Physical Sciences, Indian Mathematical Society, American Mathematical Society, IAENG, ACM, and the Allahabad Mathematical Society, among others. Dr. Singh’s leadership roles extend beyond teaching and research, as she 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. In addition to her academic roles, Dr. Singh is a member of the NextGen Wearables Hub under the Meerut ACM Professional Chapter. She also co-edits the Fuzzy Theory Frontiers series for Jenny Stanford Publishing (Taylor & Francis), demonstrating her continued dedication to fostering academic excellence and innovative research in her field.