- Introduces the fundamentals of m-polar fuzzy sets and m-polar fuzzy graphs
- Describes a mathematical approach to deal with multi-index, multipolar, and multi-attribute data
- Describes applications to image processing and decision making
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- About this book
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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.
- Table of contents (9 chapters)
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m–Polar Fuzzy Sets and m–Polar Fuzzy Graphs
Pages 1-50
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Certain Types of m–Polar Fuzzy Graphs
Pages 51-111
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Certain Metrics in m–Polar Fuzzy Graphs
Pages 113-133
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m–Polar Fuzzy Labeling Graphs
Pages 135-152
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Certain Dominations in m–Polar Fuzzy Graphs
Pages 153-184
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- m−Polar Fuzzy Graphs
- Book Subtitle
- Theory, Methods & Applications
- Authors
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- Muhammad Akram
- Series Title
- Studies in Fuzziness and Soft Computing
- Series Volume
- 371
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-03751-2
- DOI
- 10.1007/978-3-030-03751-2
- Hardcover ISBN
- 978-3-030-03750-5
- Series ISSN
- 1434-9922
- Edition Number
- 1
- Number of Pages
- XXIV, 296
- Number of Illustrations
- 206 b/w illustrations, 1 illustrations in colour
- Topics
