Plithogenic Vertex Graph and Neutrosophic Vertex HyperGraph
DOI:
https://doi.org/10.19139/soic-2310-5070-3901Keywords:
Plithogenic Set, Plithogenic Graph, Neutrosophic Graph, Neutrosophic SetAbstract
A Plithogenic Set extends the classical fuzzy, intuitionistic, and neutrosophic paradigms by assigningattribute-based membership and contradiction values to elements, and the same ideas naturally extend tograph-based structures such as the Plithogenic Graph. Neutrosophic sets, in turn, represent elements withindependent degrees of truth, indeterminacy, and falsity on the unit interval, thus handling incomplete,inconsistent, and ambiguous information effectively.This paper investigates the Plithogenic Graph, the Plithogenic Vertex Graph, and the Plithogenic EdgeGraph. In addition, it examines the Intuitionistic Fuzzy Vertex Graph and Edge Graph, the NeutrosophicVertex HyperGraph and Neutrosophic Edge HyperGraph, and the Neutrosophic Vertex SuperHyperGraphand Neutrosophic Edge SuperHyperGraph.Downloads
Published
2026-07-23
How to Cite
Fujita, T., Hatamleh, R., & Kanti Das, A. (2026). Plithogenic Vertex Graph and Neutrosophic Vertex HyperGraph. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3901
License
Copyright (c) 2026 Takaaki Fujita, Raed Hatamleh, Ajoy Kanti Das

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).