m−Polar Fuzzy Graphs: Theory, Methods & Applications: Studies in Fuzziness and Soft Computing, cartea 371
Autor Muhammad Akramen Limba Engleză Hardback – 23 noi 2018
Din seria Studies in Fuzziness and Soft Computing
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Specificații
ISBN-13: 9783030037505
ISBN-10: 3030037509
Pagini: 315
Ilustrații: XXIV, 296 p. 207 illus., 1 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.63 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Cham, Switzerland
ISBN-10: 3030037509
Pagini: 315
Ilustrații: XXIV, 296 p. 207 illus., 1 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.63 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
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