Neutrosophic Graph Theory and Algorithms
Neutrosophic Graph Theory and Algorithms by Florentin Smarandache, published by IGI Global on October 25, 2019, is a comprehensive exploration of graph theory and its applications across various industries. This 300-page book addresses the challenges of ambiguity and imprecision in traditional graph theory by introducing neutrosophic logic as a solution. The text delves into how this innovative approach can effectively tackle real-life decision-making problems characterized by uncertainty and inconsistency.
Readers will find a collection of innovative research that highlights the methods and applications of neutrosophic sets and logic in fields such as systems analysis, economics, and transportation. The book covers essential topics including linear programming, decision-making methods, and homomorphism, making it a valuable resource for programmers, researchers, data scientists, mathematicians, educators, and students interested in the latest developments in graph theory. This edition serves as a significant contribution to the understanding of algorithms and their practical implications in the realm of science and mathematics.
Official synopsis Publisher
Graph theory is a specific concept that has numerous applications throughout many industries. Despite the advancement of this technique, graph theory can still yield ambiguous and imprecise results. In order to cut down on these indeterminate factors, neutrosophic logic has emerged as an applicable solution that is gaining significant attention in solving many real-life decision-making problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy. However, empirical research on this specific graph set is lacking. Neutrosophic Graph Theory and Algorithms is a collection of innovative research on the methods and applications of neutrosophic sets and logic within various fields including systems analysis, economics, and transportation. While highlighting topics including linear programming, decision-making methods, and homomorphism, this book is ideally designed for programmers, researchers, data scientists, mathematicians, designers, educators, researchers, academicians, and students seeking current research on the various methods and applications of graph theory.
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