Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications
The article discusses a new book on fuzzy, neutrosophic, and uncertain graph theory. It emphasizes the unifying role of uncertain graph frameworks and reviews various concepts and applications. The work aims to provide a coherent understanding of diverse uncertainty-aware graph models in complex systems.
- ▪The book presents a systematic survey of graph theory under uncertainty.
- ▪It introduces various extensions such as uncertain digraphs and hypergraphs.
- ▪Practical applications include decision-making systems and cognitive maps.
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Computer Science > Artificial Intelligence arXiv:2605.23936 (cs) [Submitted on 25 Apr 2026] Title:Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications Authors:Takaaki Fujita, Florentin Smarandache View a PDF of the paper titled Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications, by Takaaki Fujita and Florentin Smarandache View PDF Abstract:This book presents a comprehensive and systematic survey of graph theory under uncertainty, with particular emphasis on the unifying role of the uncertain graph framework.
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