Title | m−Polar Fuzzy Graphs [electronic resource] : Theory, Methods & Applications / by Muhammad Akram |
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Imprint | Cham : Springer International Publishing : Imprint: Springer, 2019 |

Edition | 1st ed. 2019 |

Connect to | https://doi.org/10.1007/978-3-030-03751-2 |

Descript | XXIV, 296 p. 207 illus., 1 illus. in color. online resource |

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

CONTENT

m−Polar Fuzzy Sets and m−Polar Fuzzy Graphs -- Certain Types of m−Polar Fuzzy Graphs -- Certain Metrics in m− Polar Fuzzy Graphs -- m−Polar Fuzzy Labeling Graphs -- Certain Dominations in m−Polar Fuzzy Graphs -- m−polar Fuzzy Concept Lattice -- m−Polar Fuzzy Graph Structures -- m−Polar Fuzzy Hypergraphs -- m−Polar Fuzzy Matroids

Engineering
Computer vision
Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
Complex Systems. http://scigraph.springernature.com/things/product-market-codes/M13090
Operations Research Management Science. http://scigraph.springernature.com/things/product-market-codes/M26024
Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021