Enhancing Medical Diagnosis with Single Valued Neutrosophic Sets and Tan-Log Distance

Authors

https://doi.org/10.22105/scfa.v1i1.29

Abstract

Most diseases share a mix of common and unique traits, with distinct symptoms appearing at the onset. This paper proposes a method to establish relationships between illness classes and individuals with specific pathologies, aiding physicians in plausible diagnoses. We introduce the tan-log distance among single valued Neutrosophic Sets (NSs) and discuss its characteristics. This approach addresses uncertainties and shortcomings in current methods. The application of this method to medical diagnosis demonstrates its effectiveness in identifying illnesses. The previously mentioned approach's concept serves as a vital safeguard against uncertainties and shortcomings in the existing methods. To determine the sickness that a person is suffering, the application of medical diagnosis is discussed. The result of the diagnosis showed how effective the recommended course of action was.    

Keywords:

Neutrosophic set, Single valued neutrosophic set, Tan-log distance, Medical diagnosis

References

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2024-03-25

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Vol. 1 No. 1 (2024): Soft Computing Fusion with Applications

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Enhancing Medical Diagnosis with Single Valued Neutrosophic Sets and Tan-Log Distance. (2024). Soft Computing Fusion With Applications , 1(1), 50-58. https://doi.org/10.22105/scfa.v1i1.29

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