Fuzzy Graph Theory with Applications to Human Trafficking
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Beschreibung
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.
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.
Describes advanced concepts of fuzzy graph theory, such as domination in fuzzy graphs and network models Discusses a set of applications to human trafficking and control of illegal migration Builds on the previous book on fuzzy graph theory by the same authors
Autor*in
John N. Mordeson
Themen in »Fuzzy Graph Theory with Applications to Human Trafficking«
Intuitionistic Fuzzy Graphs Complementary Fuzzy Graphs Inclusive Connectedness Categories Exclusive Connectedness Categories Fuzzy Influence Graphs Independence and Domination in Fuzzy Graphs Quasi-Fuzzy Incidence Graphs Interval Valued Fuzzy Graphs Dempster’s Rule of Combination Directed Fuzzy Networks Maximum Flow Algorithm Modeling Human Trafficking Human Trafficking Analysis Decision-making Model with Fuzzy Graphs