Fuzzy Graph Theory with Applications to Human Trafficking Fuzzy Graph Theory with Applications to Human Trafficking
Studies in Fuzziness and Soft Computing

Fuzzy Graph Theory with Applications to Human Trafficking

John N. Mordeson والمزيد
    • ‏119٫99 US$
    • ‏119٫99 US$

وصف الناشر

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. 

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٤ مارس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
٩
‫م.ب.‬
Fuzzy Automata and Languages Fuzzy Automata and Languages
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Application of Fuzzy Logic to Social Choice Theory Application of Fuzzy Logic to Social Choice Theory
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Sustainability and Global Challenges Sustainability and Global Challenges
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Weighted and Fuzzy Graph Theory Weighted and Fuzzy Graph Theory
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Fuzzy Graph Theory Fuzzy Graph Theory
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Applications of Mathematics of Uncertainty Applications of Mathematics of Uncertainty
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Theory and Applications of Ordered Fuzzy Numbers Theory and Applications of Ordered Fuzzy Numbers
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A Practical Introduction to Fuzzy Logic Using LISP A Practical Introduction to Fuzzy Logic Using LISP
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Fuzzy Logic and Information Fusion Fuzzy Logic and Information Fusion
٢٠١٦
Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
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The Book of Dede Korkut and Fuzzy Logic The Book of Dede Korkut and Fuzzy Logic
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Recent Advances on Fuzzy Sets Recent Advances on Fuzzy Sets
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