Fuzzy Graph Theory with Applications to Human Trafficking (eBook)

Artikelnummer: 978-3-319-76454-2
Einband: PDF
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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.

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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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2018
Seitenangabe250 S.
AusgabekennzeichenEnglisch
AbbildungenXIX, 250 p.
Masse3'689 KB
PlattformPDF
ReiheStudies in Fuzziness and Soft Computing; Engineering; Engineering
AutorMordeson, John N. / Mathew, Sunil / Malik, Davender S.

Alle Bände der Reihe "Studies in Fuzziness and Soft Computing; Engineering; Engineering (R0)"

Über den Autor John N. Mordeson

Dr. John N Mordeson is a professor emeritus of Mathematics at Creighton University. He received his B. S., M. S., and Ph. D from Iowa State University. He is a member of Phi Kappa Phi. He has published 20 books and over 250 journal articles. He is on the editorial board of numerous journals. He has served as an external examiner of Ph. D. candidates from India, South Africa, Bulgaria, and Pakistan. He has refereed for numerous journals and granting agencies. He is particularly interested in applying mathematics of uncertainty to combat the problems of climate change, human träcking, and biodiversity. Dr. Sunil Mathew is a faculty member in the Department of Mathematics, NIT Calicut, India. He has acquired his master's from St. Joseph's College Devagiri, Calicut, and Ph. D. from the National Institute of Technology Calicut in the area of fuzzy graph theory. He has published more than 100 research papers and written ¿ve books. He is a member of several academic bodies and associations. He is an editor and reviewer of several international journals. He has an experience of 20 years in teaching and research. His current research topics include fuzzy graph theory, bio-computational modeling, graph theory, fractal geometry, and chaos.

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