Review of Rough Turiyam Neutrosophic Directed Graphs and Rough Pentapartitioned Neutrosophic Directed Graphs

Graph theory, a fundamental branch of mathematics, examines relationships between entities through the use of vertices and edges. Within this field, Uncertain Graph Theory has developed as a powerful framework to represent the uncertainties found in real world networks. Among the various uncertain graph models, Turiyam Neutrosophic Graphs and Pentapartitioned Neutrosophic Graphs are well-established. However, their extension to Directed Graphs remains relatively unexplored. To address this gap, this paper presents the concepts of the Turiyam Neutrosophic Directed Graph and the Pentapartitioned Neutrosophic Directed Graph, thereby broadening the scope of uncertain graph theory.

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Publication Details

Journal
Neutrosophic Optimization and Intelligent Systems
Published
2025-03-04
DOI
https://doi.org/10.61356/j.nois.2025.5500
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
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article

Review of Rough Turiyam Neutrosophic Directed Graphs and Rough Pentapartitioned Neutrosophic Directed Graphs

Takaaki Fujita
Neutrosophic Optimization and Intelligent Systems
Multi-Criteria Decision Making
article

Review of Rough Turiyam Neutrosophic Directed Graphs and Rough Pentapartitioned Neutrosophic Directed Graphs

Takaaki Fujita
article en

Abstract

Graph theory, a fundamental branch of mathematics, examines relationships between entities through the use of vertices and edges. Within this field, Uncertain Graph Theory has developed as a powerful framework to represent the uncertainties found in real world networks. Among the various uncertain graph models, Turiyam Neutrosophic Graphs and Pentapartitioned Neutrosophic Graphs are well-established. However, their extension to Directed Graphs remains relatively unexplored. To address this gap, this paper presents the concepts of the Turiyam Neutrosophic Directed Graph and the Pentapartitioned Neutrosophic Directed Graph, thereby broadening the scope of uncertain graph theory.

Neutrosophic Optimization and Intelligent SystemsVol. 5
Shinjuku College of Information Technology (JP)
Openalex Percentile: Top 93%
Multi-Criteria Decision Making
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