Fuzzy Tolerance Hypergraphs and Fuzzy ToleranceSuperhypergraphs
Main Article Content
Abstract
Hypergraphs generalize this framework by allowing hyperedges that join more than two vertices [1,2].
Superhypergraphs further enrich the model through iterated powerset constructions, capturing hierarchical and
self-referential structures among hyperedges [3]. In this paper, we introduce new classes of graphs, namely
the Tolerance SuperHyperGraph, Tolerance HyperGraph, Fuzzy Tolerance Hypergraph, and Fuzzy Tolerance
SuperHypergraph, and examine their properties.
Downloads
Download data is not yet available.
Article Details
How to Cite
Fuzzy Tolerance Hypergraphs and Fuzzy ToleranceSuperhypergraphs. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 41, 46-70. https://fs.unm.edu/NCML2/index.php/112/article/view/899
Section
Articles

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Fuzzy Tolerance Hypergraphs and Fuzzy ToleranceSuperhypergraphs. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 41, 46-70. https://fs.unm.edu/NCML2/index.php/112/article/view/899