Quantum Theory, Decision Making and Social Dynamics
Feb 2026 · Academic Press
Ebook
250
Pages
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About this ebook
Quantum Theory, Decision Making and Social Dynamics is an innovative exploration of the intersection of quantum theory, decision-making, and social networks. As quantum theory continues to permeate various fields, there is a growing need for accessible resources that elucidate its principles and applications. This book aims to fill that gap by illuminating the complex interplay between quantum theory and social dynamics, particularly in the context of decision-making. It addresses the challenges of understanding and applying quantum theory in social dynamics and equips readers with the knowledge to harness its potential in decision-making processes. The book is organized into nine chapters, each delving into a specific aspect of quantum theory and its applications. Chapter 1 provides an overview of quantum theory, tracing its historical development and key principles. Chapter 2 explores the integration of quantum theory with fuzzy systems, highlighting real-world applications and emerging trends. In Chapter 3, the focus shifts to the application of quantum theory in social networks, including quantum social network models and case studies. Chapter 4 examines decision-making processes within social networks, while Chapter 5 introduces and analyzes quantum decision-making models. Chapter 6 delves into quantum graph theory, discussing quantum graphs, walks, and algorithms. The subsequent chapters address the challenges and limitations of quantum decision-making (Chapter 7), future directions for the field (Chapter 8), and conclude with a summary of key points and final thoughts (Chapter 9). Quantum Theory, Decision Making and Social Dynamics is an invaluable resource for graduate students, researchers, and professionals in the fields of applied mathematics, computer science, physics, and social sciences interested in applying quantum approaches to the study of decision-making. These readers often face challenges in understanding complex quantum concepts, applying quantum theory to social networks, and utilizing quantum decision-making models. This book provides a solid foundation in quantum theory, introduces its applications in diverse areas, and prepares readers to navigate the quantum age with confidence. By offering a comprehensive overview and practical insights, this book empowers its audience to appreciate the profound impact of quantum theory on social network dynamics and decision-making.• Provides an in-depth introduction to quantum theory, its historical development, key principles, and significance• Explores the intersection of quantum theory with fuzzy systems and social networks, presenting real-world applications and emerging trends in quantum fuzzy systems and quantum social network models• Investigates decision-making processes in social networks and introduces quantum decision-making models, discussing the advantages and challenges of these models
About the author
Tofigh Allahviranloo is a full professor of applied mathematics at Istinye University, Turkey. As a trained mathematician and computer scientist, Prof. Allahviranloo has developed a passion for multi- and interdisciplinary research. He is not only deeply involved in fundamental research in fuzzy applied mathematics, especially fuzzy differential equations, but he also aims at innovative applications in the applied biological sciences. He is the author of several books and many papers published by Elsevier and Springer. He actively serves the research community, as Editor-in-Chief of the International J. of Industrial Mathematics, and Associate Editor or editorial board member of several other journals, including Information Sciences, Fuzzy Sets and Systems, Journal of Intelligent and Fuzzy Systems, Iranian J. of Fuzzy Systems and Mathematical Sciences.Sovan Samanta is an assistant professor in the Department of Mathematics at Tamralipta Mahavidyalaya, affiliated to Vidyasagar University, India, since 2017. He is also a Visiting Professor at Instiya University, Turkey. Before that, he worked as an Assistant Professor in the Department of Basic Sciences at the Indian Institute of Information Technology, Nagpur. He holds a PhD in algebraic fuzzy graph theory from Vidyasagar University, India and a Post Doc in discrete mathematics from Hanyang University, South Korea. He has published over 87 papers in international journals, including 65 in SCIE/SCI journals. He has also authored and edited several books and book chapters, and serves as an Associate Editor for the Journal of Applied Mathematics and Computing, the Journal of Intelligent & Fuzzy Systems, and Mathematical Problems in Engineering.Prasenjit Mandal is an assistant teacher of Mathematics at Bhalukdungri Jr. High School in Raigara, Barabazar, Purba Medinipur, West Bengal, India. He earned his Bachelor of Science degree with honors in Mathematics from Vidyasagar University in Paschim Medinipur, West Bengal, and his Master of Science degree in Mathematics from Guru Ghasidas Central University. He holds a PhD from Vidyasagar University. He has published 17 papers in SCI/SCIE-indexed journals, three papers in SCOPUS-indexed journals, and 10 papers in UGC CARE-listed journals. Recently, he was included in the AD Scientific Index - World Scientists Rankings. His research interests encompass group decision-making, soft computing, applied soft computing, rough sets, fuzzy algebra, and social networking-based decision-making.Rupkumar Mahapatra is an assistant teacher in Mathematics at Chanserpur High School, Chanserpur, Purba Medinipur, West Bengal, India. He received his Bachelor of Science degree with honours in Mathematics from Vidyasagar University, Paschim Medinipur, West Bengal, India, and a Master of Science degree in Mathematics from Guru Ghasidas Central University. He holds a PhD from Vidyasagar University. Dr. Mahapatra has published 10 papers in SCI/ SCIE-indexed and one paper in SCOPUS-indexed journals. He is recently included in the list of AD Scientific Index- World Scientists Rankings. His research interests include Graph Theory, Fuzzy Graphs, and Social Networks.
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