Fuzzy Tolerance Hypergraphs and Fuzzy ToleranceSuperhypergraphs

Autores/as

  • Takaaki Fujita Independent Researcher, Tokyo, Japan. Autor/a
  • Arif Mehmood Department of Mathematics, Institute of Numerical Sciences, Gomal University, Dera Ismail Khan 29050, KPK, Pakistan ( Autor/a

Palabras clave:

SuperHyperGraph, HyperGraph, Fuzzy Graph, Fuzzy Hypergraph, Fuzzy SuperHyperGraph, Tolerance SuperHyperGraph, Tolerance HyperGraph

Resumen

 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.

a

Descargas

Publicado

2025-11-23

Número

Vol. 41 (2025)

Sección

Artículos

Licencia

Derechos de autor 2026 Neutrosophic Computing and Machine Learning

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Licencia Creative Commons Atribución (CC BY).

Cómo citar

Fuzzy Tolerance Hypergraphs and Fuzzy ToleranceSuperhypergraphs. (2025). Neutrosophic Computing and Machine Learning, 41, 46-70. https://fs.unm.edu/NCML_2/index.php/NCML/article/view/35

Artículos más leídos del mismo autor/a

Artículos similares

1-10 de 13

También puede Iniciar una búsqueda de similitud avanzada para este artículo.