Back to feed
arXiv cs.AI·

Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications

Signal
45
Hype
15
In three linesComprehensive survey of graph theory under uncertainty, covering fuzzy, neutrosophic, and related models. Addresses fundamental structures, graph classes, uncertain digraphs, hypergraphs, dynamic graphs. Applications include uncertain molecular graphs, decision-making systems, graph neural networks, knowledge graphs, cognitive maps.
Read source
Your take?
BenchmarksPapers

Summary generated by Claude — human-verified