Quantum Theory And Fuzzy Systems Traversing Uncertainty In Group Decision Making And Social Networks


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Quantum Theory and Fuzzy Systems: Traversing Uncertainty in Group Decision-Making and Social Networks


Quantum Theory and Fuzzy Systems: Traversing Uncertainty in Group Decision-Making and Social Networks

Author: Tofigh Allahviranloo

language: en

Publisher: Springer Nature

Release Date: 2025-05-21


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This book dives into the fascinating intersection of quantum theory and fuzzy systems. This work is inspired by quantum theory and its real-world applications. It bridges the gap between abstract theoretical concepts and practical implementations in quantum theory-based group decision-making and graph theory/social networks. Highlights: Core concepts: Begin with uncertainty in quantum theory and fuzzy systems and familiarise yourself with the basics of quantum graphs. Real-World Applications: Explore methods for multi-attribute group decision-making, choosing green building materials, and evaluating wearable health devices, renewable energy options, and cell phones using quantum decision methods. Advanced Exploration: Investigate dynamic centrality measures for brain networks, routing protocols, centrality metrics, link prediction, and applications of quantum graphs. Comprehensive topics: Learn about green supplier selection, investment decisions under uncertainty, sustainable solar energy management, and more. Innovative approaches: Examine topological indices, dominance theory, applications of quantum computing, social fuzzy and quantum networks, scenarios of co-concurrence, and optimization techniques in quantum graphs. This comprehensive guide is an indispensable resource for students, researchers, and professionals who want to explore the applications of quantum theory in network science, quantum computing, and decision-making. Whether readers are experts or novices, this book provides knowledge and practical insights to navigate the complexity of uncertainty in our networked world.

Fuzzy Logic and Soft Computing


Fuzzy Logic and Soft Computing

Author: Bernadette Bouchon-Meunier

language: en

Publisher: World Scientific

Release Date: 1995


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Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems


Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

Author: Guanrong Chen

language: en

Publisher: CRC Press

Release Date: 2000-11-27


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In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art