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Computer Science & Information Management
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 many 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. CONTENTS: About the Authors / Editors: Editors: Rahul Kar State-Aided Teacher, Department of Mathematics, Kalyani Mahavidyalaya, Nadia, W.B., India 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 Chief Scientific Advisor, Bio Tech Sphere Research, India 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 Associate Professor, Department of Computational Sciences, Brainware University, Kolkata, India 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 Associate Professor in Mathematics, Department of Basic Science and Humanities, Institute of Engineering & Management, Kolkata, West Bengal, India Biswadip Basu Mallik, PhD, is an Associate Professor of Mathematics in the Department of Basic Sciences & Humanities at the Institute of Engineering & Management, Kolkata, India. He has been involved in teaching and research for almost 22 years and has published several research papers and book chapters in various scientific journals and reputed international publishers like CRC Press, Apple Academic Press, John Wiley, IGI Global, Springer etc. He has authored five books at undergraduate levels in the areas of engineering mathematics, quantitative methods, and computational intelligence. He has also published five Indian patents along with 15 edited books. His fields of research work are computational fluid dynamics, mathematical modeling, machine learning, and optimization. Dr. Basu Mallik is a series editor of the book series titled Mathematics and Computer Science (Wiley-Scrivener, USA) and a managing editor of the Journal of Mathematical Sciences & Computational Mathematics (JMSCM), USA. He is also an editorial board member and reviewer for several scientific journals. He is a senior life member of the Operational Research Society of India and a life member of the Calcutta Mathematical Society, Indian Statistical Institute, Indian Science Congress Association, and International Association of Engineers. Rashmi Singh, PhD Associate Professor, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India Rashmi Singh, PhD, is working as an Associate Professor in the Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India. Her areas of research and interest are nearness-like structures and near set theory, soft set theory, rough set theory, fuzzy subset theory, general topology, and AI-ML. She has taught postgraduate and undergraduate students for the last 19 years and has been involved in research since 2001. She also worked as a research assistant at the Allahabad Mathematical Society for three years. She is a member of various professional bodies such as the American Mathematical Society, ISCA, Allahabad Mathematical Society, and many other mathematical sciences societies. She has published over 25 research articles in various national and international journals. She has supervised more than 30 master and undergraduate students. She is recognized as an editor and reviewer for various refereed and peer-reviewed national and international journals. She is a recognized research supervisor and has supervised one PhD scholar; two are currently pursuing their degrees under her guidance. Her doctorate degree is in “Merotopic Structures in Fuzzy Subset Theory” from the University of Allahabad, Uttar Pradesh, India. |
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