M-polar fuzzy graphs : theory, methods & applications / Muhammad Akram.
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...
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2019]
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| Edition: | 1st ed. 2019. |
| Series: | Studies in fuzziness and soft computing ;
371. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xxiv, 296 pages). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3030037509 9783030037505 3030037517 9783030037512 |
| ISSN: | 1434-9922 ; |