Identifying the Frauds in Digitally Consummated Transactions by Developing the frame work of Intuitionistic Fuzzy Graphs

Authors

  • Mohammed Alqahtani Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University,P.O. Box 93499, Riyadh 11673, Saudi Arabia.

DOI:

https://doi.org/10.63278/mme.vi.1633

Keywords:

Intuitionistic fuzzy graph, K-Lexicographic max product, Degree, Total degree of a vertex, Decision making problems.

Abstract

In many branches of computer science and computational intelligence, a graph structure provides a helpful framing network for resolving combinatorial issues. Several concepts of intuitionistic fuzzy graph (IFG) structure are defined in this research piece by applying the idea of intuitionistic fuzzy sets to the graph structure. The study of different structures, such as IFGs, signed graphs, and graphs with labelled edges, can greatly benefit from the use of IFG structure. The degree and total degree of a vertex in the K-Lexicographic max product (K-LMP), as well as the IFG structure, are introduced, along with their respective notations. Additionally, numerical examples clarify the suggested concept. In instance, decision-making processes including the use of IFGs for the identification of fraudulent activity in online transactions are demonstrated. In conclusion, an algorithm explains the overall process of these applications.  

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How to Cite

Alqahtani, Mohammed. 2025. “Identifying the Frauds in Digitally Consummated Transactions by Developing the Frame Work of Intuitionistic Fuzzy Graphs”. Metallurgical and Materials Engineering, May, 774-93. https://doi.org/10.63278/mme.vi.1633.

Issue

Vol. 31 No. 5 (2025)

Section

Research

License

Copyright (c) 2025 Mohammed Alqahtani

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