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portada Quantum Theory, Decision Making and Social Dynamics
Type
Physical Book
Collection
Uncertainty, Computational Techniques, and Decision Intelligence
Year
2026
Pages
188
Format
Paperback
Dimensions
22.9x15.2 cm
ISBN13
9780443364907

Quantum Theory, Decision Making and Social Dynamics

Prasenjit, Phd Mandal;Tofigh, Phd Allahviranloo;Sovan, Phd Samanta;Rupkumar, Phd Mahapatra (Author) · Academic Press Inc · Paperback

Quantum Theory, Decision Making and Social Dynamics - Prasenjit, PhD Mandal;Tofigh, PhD Allahviranloo;Sovan, PhD Samanta;Rupkumar, PhD Mahapatra

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Synopsis "Quantum Theory, Decision Making and Social Dynamics"

Quantum Theory, Decision Making, and Social Dynamics is a detailed exploration of the connection between quantum theory, decision-making, and social networks. As quantum theory expands into various fields, there is an increasing demand for accessible resources that clarify its principles and uses. This book aims to address that need by explaining the complex relationship between quantum theory and social dynamics, especially in decision-making contexts. It discusses the challenges of understanding and applying quantum theory in social settings and provides readers with the knowledge to leverage its potential in decision-making processes. The book is divided into eleven chapters, each focusing on a specific aspect of quantum theory and its applications. Chapter 1 introduces quantum theory, fuzzy logic, and social network analysis, highlighting key concepts like superposition, entanglement, and fuzzy influence within networks. Chapter 2 examines fuzzy sets, membership functions, and inference systems, with applications in devices, traffic management, and healthcare. Chapter 3 covers the mathematical framework of quantum mechanics and its philosophical paradoxes, connecting them to fuzzy logic models of uncertainty. Chapter 4 links social networks to quantum graphs, defining their topology, centrality, and entangled edges. Chapter 5 models social identity as a fuzzy quantum superposition, exploring identity collapse and coherence within networks. Chapter 6 relates quantum entanglement to social ties, proposing fuzzy–quantum graph models for interconnected systems. Chapter 7 analyses measures of irregularity in quantum graphs and applies these to financial networks. Chapter 8 integrates quantum cognition with fuzzy MCDM, employing various probability evaluation methods. Chapter 9 features case studies of fuzzy systems and their integration with quantum fuzzy graphs. Chapter 10 develops a quantum graph-based link prediction model for dynamic social networks. Chapter 11 concludes with a summary of the quantum–fuzzy framework, discussing its contributions, limitations, and future directions.

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