Revisiting Bipolar Neutrosophic Graph and Interval-Valued Neutrosophic Graph

Graph theory explores networks composed of nodes (vertices) and their connections (edges). A graph class is a collection of graphs that share common structural properties, defined by specific rules or constraints. This paper examines various models of uncertain graphs, including Fuzzy, Intuitionistic Fuzzy , Neutrosophic, Turiyam Neutrosophic, and Plithogenic Graphs. In particular, this study focuses on Bipolar Graphs and Interval-valued Graphs, analyzing them within the frameworks of Fuzzy, Neutrosophic, Turiyam Neutrosophic, and Plithogenic Graphs.

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Publication Details

Journal
Neutrosophic Systems with Applications
Published
2025-04-22
DOI
https://doi.org/10.63689/2993-7159.1266
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Revisiting Bipolar Neutrosophic Graph and Interval-Valued Neutrosophic Graph

Takao Fujita
Neutrosophic Systems with Applications
Multi-Criteria Decision Making
article

Revisiting Bipolar Neutrosophic Graph and Interval-Valued Neutrosophic Graph

Takao Fujita
article en

Abstract

Graph theory explores networks composed of nodes (vertices) and their connections (edges). A graph class is a collection of graphs that share common structural properties, defined by specific rules or constraints. This paper examines various models of uncertain graphs, including Fuzzy, Intuitionistic Fuzzy , Neutrosophic, Turiyam Neutrosophic, and Plithogenic Graphs. In particular, this study focuses on Bipolar Graphs and Interval-valued Graphs, analyzing them within the frameworks of Fuzzy, Neutrosophic, Turiyam Neutrosophic, and Plithogenic Graphs.

Neutrosophic Systems with ApplicationsVol. 25(3)
Shinjuku College of Information Technology (JP)
Openalex Percentile: Top 90%
Multi-Criteria Decision Making
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