AI-Based Decision Making Using Neutrosophic Graphs

C.Karthikeyan,; P.Gowri,

doi:https://doi.org/10.55041/ijcope.v2i8.185

Volume 02, Issue 8

Published on: August 2026

AI-BASED DECISION MAKING USING NEUTROSOPHIC GRAPHS

C.Karthikeyan P.Gowri

Department of Mathematics

Sri Krishna arts and Science College

DOI:https://doi.org/10.55041/ijcope.v2i8.185

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Abstract

Artificial Intelligence (AI) has become an essential technology for solving complex decision-making problems in healthcare, finance, transportation, cybersecurity, and industrial automation. Conventional graph-based models often fail to represent uncertain and inconsistent information present in real-world applications. Neutrosophic graph theory provides a flexible mathematical framework by incorporating truth, indeterminacy, and falsity memberships into graph structures. This paper presents an AI-based decision-making framework using neutrosophic graphs to model uncertain relationships among alternatives. The proposed methodology combines graph representation with intelligent ranking techniques to improve decision accuracy under incomplete information. The framework offers greater flexibility than classical and fuzzy graph models and can be applied to various intelligent decisionsupport systems.

How to Cite this Paper

C.Karthikeyan, & P.Gowri, (2026). AI-Based Decision Making Using Neutrosophic Graphs. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.185

C.Karthikeyan, , and P.Gowri. "AI-Based Decision Making Using Neutrosophic Graphs." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.185.

C.Karthikeyan, , and P.Gowri. "AI-Based Decision Making Using Neutrosophic Graphs." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.185.

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References

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Ethical Compliance & Review Process

•All submissions are screened under plagiarism detection.
•Review follows editorial policy.
•Authors retain copyright.
•Peer Review Type: Double-Blind Peer Review
•Published on: Aug 22 2026

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