Fuzzy Graph Theory with Applications to Human Trafficking, Mordeson
Автор: Eduardo Massad; Neli R.S. Ortega; La?cio C. Barros Название: Fuzzy Logic in Action: Applications in Epidemiology and Beyond ISBN: 3540690921 ISBN-13(EAN): 9783540690924 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book marks a paradigm shift in medical science. It explores topics in epidemiology, mathematical modeling and uncertainty within the framework of fuzzy sets and dynamic systems, giving new ways to predict, diagnose and treat various ailments.
Автор: John N. Mordeson; Sunil Mathew; Davender S. Malik Название: Fuzzy Graph Theory with Applications to Human Trafficking ISBN: 3030094944 ISBN-13(EAN): 9783030094942 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on advanced concepts in fuzzy graph theory, showing a set of tools that can be successfully applied to understanding and modeling illegal human trafficking. Building on the previous book on fuzzy graph by the same authors, which set the fundamentals for readers to understand this developing field of research, this second book gives a special emphasis to applications of the theory. For this, authors introduce new concepts, such as intuitionistic fuzzy graphs, the concept of independence and domination in fuzzy graphs, as well as directed fuzzy networks, incidence graphs and many more.
Описание: In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems.
Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.
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