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Fuzzy Graph Theory with Applications to Human Trafficking [electronic resource] /

By: Mordeson, John N [author.].
Contributor(s): Mathew, Sunil [author.] | Malik, Davender S [author.] | SpringerLink (Online service).
Series: Studies in Fuzziness and Soft Computing: 365Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XIX, 250 p. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319764542.Subject(s): Computer Engineering | Simulation and Modeling | International Criminal Law | Game Theory, Economics, Social and Behav. SciencesDDC classification: 006.3 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.) In: Springer Nature eBookSummary: 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. .
List(s) this item appears in: Springer Nature eBooks
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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. .

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