On t-intuitionistic fuzzy graphs: a comprehensive analysis and application in poverty reduction
- PMID: 37813866
- PMCID: PMC10562496
- DOI: 10.1038/s41598-023-43922-0
On t-intuitionistic fuzzy graphs: a comprehensive analysis and application in poverty reduction
Abstract
This paper explains the idea of t-intuitionistic fuzzy graphs as a powerful way to analyze and display relationships that are difficult to understand. The article also illustrates the ability of t-intuitionistic fuzzy graphs to establish complex relationships with multiple factors or dimensions of a physical situation under consideration. Moreover, the fundamental set operations of t-intuitionistic fuzzy graphs are proposed. The notions of homomorphism and isomorphism of t-intuitionistic fuzzy graphs are also introduced. Furthermore, the paper highlights a practical application of the proposed technique in the context of poverty reduction within a specific society. By employing t-intuitionistic fuzzy graphs, the research demonstrates the potential to address the multifaceted nature of poverty, considering various contributing factors and their interdependencies. This application showcases the versatility and effectiveness of t-intuitionistic fuzzy graphs as a tool for decision-making and policy planning in complex societal issues.
© 2023. Springer Nature Limited.
Conflict of interest statement
The authors declare no competing interest.
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