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m−Polar Fuzzy Graphs = Theory, Methods & Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	m−Polar Fuzzy Graphs/ by Muhammad Akram.
Reminder of title:	Theory, Methods & Applications /
Author:	Akram, Muhammad.
Description:	XXIV, 296 p. 207 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-03751-2
ISBN:	9783030037512

m−Polar Fuzzy Graphs = Theory, Methods & Applications /
Akram, Muhammad.

m−Polar Fuzzy GraphsTheory, Methods & Applications /[electronic resource] :by Muhammad Akram. - 1st ed. 2019. - XXIV, 296 p. 207 illus., 1 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3711434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

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.

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.

ISBN: 9783030037512

Standard No.: 10.1007/978-3-030-03751-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

m−Polar Fuzzy Graphs = Theory, Methods & Applications /
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520 $a 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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