M-polar fuzzy graphs [electronic resource] : theory, methods & applications / by Muhammad Akram.
- 作者： Akram, Muhammad.
- 其他作者：
- 其他題名：
- Studies in fuzziness and soft computing ;
- 出版： Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名： Studies in fuzziness and soft computing,v.371
- 主題： Fuzzy graphs. , Computational Intelligence. , Complex Systems. , Operations Research, Management Science. , Image Processing and Computer Vision.
- ISBN： 9783030037512 (electronic bk.) 、 9783030037505 (paper)
- URL：
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電子書(校內)
- 一般註：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. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274262 | 機讀編目格式
館藏資訊
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.
摘要註
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.
