Application Of Neutrosophic Sets Based On Neutrosophic Negative Score Function in Medical Diagnosis

Abstract

Medical diagnosis is the process of determining which illness or disease is causing an individual’s
symptoms and warning signs. It is most commonly referred to as analysis, with the clinical environment
implied. The evidence required for discovery is typically acquired from a clinical study and an examination of
the individual seeking medical treatment. The major purpose of this research is to use topology to establish a
methodical technique for decision making difficulties in order to select the appropriate attributes and alternatives
for neutrosophic negative score function. In addition, we use a neutrosophic topological space based on attributes
and alternatives, as well as graphical representation, to apply a neutrosophic negative score function in medical
diagnosis problems.