Ebook: m−Polar Fuzzy Graphs: Theory, Methods & Applications
Author: Muhammad Akram
- Tags: Engineering, Computational Intelligence, Complex Systems, Operations Research Management Science, Image Processing and Computer Vision
- Series: Studies in Fuzziness and Soft Computing 371
- Year: 2019
- Publisher: Springer International Publishing
- Edition: 1st ed.
- Language: English
- pdf
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.