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m−Polar Fuzzy Graphs: Theory, Methods & Applications

✍ Scribed by Muhammad Akram

Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
313
Series
Studies in Fuzziness and Soft Computing 371
Edition
1st ed.
Category
Library
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✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxiv
m–Polar Fuzzy Sets and m–Polar Fuzzy Graphs (Muhammad Akram)....Pages 1-50
Certain Types of m–Polar Fuzzy Graphs (Muhammad Akram)....Pages 51-111
Certain Metrics in m–Polar Fuzzy Graphs (Muhammad Akram)....Pages 113-133
m–Polar Fuzzy Labeling Graphs (Muhammad Akram)....Pages 135-152
Certain Dominations in m–Polar Fuzzy Graphs (Muhammad Akram)....Pages 153-184
m–Polar Fuzzy Concept Lattice (Muhammad Akram)....Pages 185-207
m–Polar Fuzzy Graph Structures (Muhammad Akram)....Pages 209-233
m–Polar Fuzzy Hypergraphs (Muhammad Akram)....Pages 235-269
m–Polar Fuzzy Matroids (Muhammad Akram)....Pages 271-284
Back Matter ....Pages 285-296

✦ Subjects

Engineering; Computational Intelligence; Complex Systems; Operations Research, Management Science; Image Processing and Computer Vision

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