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OverviewThis 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. Full Product DetailsAuthor: Muhammad AkramPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2019 Volume: 371 Weight: 0.647kg ISBN: 9783030037505ISBN 10: 3030037509 Pages: 296 Publication Date: 23 November 2018 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contentsm 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |