m-Polar Fuzzy Graphs / Studies in Fuzziness and Soft Computing Bd.371 (PDF)
Theory, Methods & Applications
(Sprache: Englisch)
This book provides readers with an introduction to m-polar fuzzy graphs and m-polar fuzzy hypergraphs, covering both theories and applications. A special emphasis is given to m-polar fuzzy graphs at the aim of filling a gap in the literature, namely the...
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Produktinformationen zu „m-Polar Fuzzy Graphs / Studies in Fuzziness and Soft Computing Bd.371 (PDF)“
This book provides readers with an introduction to m-polar fuzzy graphs and m-polar fuzzy hypergraphs, covering both theories and applications. A special emphasis is given to m-polar fuzzy graphs at the aim of filling a gap in the literature, namely the absence of a mathematical approach to analyze multi-index, multipolar, and multi-attribute data. The book describes metrics and labeling in m-polar graphs, m-polar fuzzy matroids. It also discusses in detail important applications in decision-making problems and imaging processing. The book is expected to stimulate the curiosity of mathematics, computer scientists, and social scientists alike, and to provide both students and researchers with the necessary knowledge to understand and apply m-polar fuzzy graph theory.
Bibliographische Angaben
- Autor: Muhammad Akram
- 2018, 1st ed. 2019, 296 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030037517
- ISBN-13: 9783030037512
- Erscheinungsdatum: 13.11.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 9.20 MB
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- Vorlesefunktion
Sprache:
Englisch
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