Enhancing Medical Diagnosis with Single Valued Neutrosophic Sets and Tan-log Distance
DOI:
https://doi.org/10.22105/bep1t867Abstract
Most diseases share a mix of common and unique traits,with distinct symptoms appearing at the onset.This paper proposes a method to establlish a relationships between illness classes and individuals with specific pathologies,aiding physicians in plausible diagnoses.We introsuce the tan-log distance among single valued neutrosophic sets and discuss its characteristics.This approach addresses uncertainties and shoetcomings 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.
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