Overview
- 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
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 371)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
- m−Polar Fuzzy Labeling Graphs
- Isomorphism of m-Polar Fuzzy Graphs
- Irregular m−Polar Fuzzy Graphs
- k-Neighbourly Irregular m-Polar Fuzzy Graphs
- Bipolar Fuzzy Concept Lattice
- m−Polar Fuzzy Concept Lattice
- m−Polar Fuzzy Transversals
- Locally Minimal m−Polar Fuzzy Transversals
- Multipolar Uncertainty
- Edge m−Polar Fuzzy Graphs
- Domination in m-Polar Fuzzy Graphs
- Multi-Attribute Decision-Making Methods
- Decision Making with m-Polar Fuzzy Graphs
- Detecting Women and Child Trafficking
- m−Polar Fuzzy Graph Structures
- Transversals of m−Polar Fuzzy Hypergraphs
- m−Polar Fuzzy Circuits
- Closures of m−Polar Fuzzy Matroids
- m−Polar Fuzzy Rank Functions
About this book
Authors and Affiliations
Bibliographic Information
Book Title: m−Polar Fuzzy Graphs
Book Subtitle: Theory, Methods & Applications
Authors: Muhammad Akram
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-03751-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03750-5Published: 23 November 2018
eBook ISBN: 978-3-030-03751-2Published: 13 November 2018
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXIV, 296
Number of Illustrations: 206 b/w illustrations, 1 illustrations in colour
Topics: Computational Intelligence, Complex Systems, Operations Research, Management Science, Image Processing and Computer Vision