Medical Diagnosis Under Uncertain Environment Through Bipolar-Valued Fuzzy Sets

Abstract

In medical field, the necessary data or information provided by patients to medical experts are more often uncertain or vague. Fuzzy set theory is explored to deal with these types of uncertain environment and to analyze the data explained by the patients. Numerous studies have been done in the field of medicine using fuzzy sets, in particular, medical diagnosis is a prominent one. However, most of the studies leads to counterintuitive results. Therefore, in this paper, a medical diagnosis has been made using the composition of bipolar-valued fuzzy sets. It is observed that the present approach has the ability to address the medical diagnosis problem so effectively, which tallies with analytical results along with human intuitions.