A Multicriteria Decision Making in Medical Diagnosis using Vague Sets

Abstract

A disease may concern a set of symptoms, and the same set of symptoms may appear in different diseases. Also, symptoms may occur in different patients differently. It creates uncertainty, which is to be addressed to make the diagnostic decision more accurate. By categorizing symptoms into criteria, the proposed model aims to address the inherent ambiguity and vagueness associated with medical data. Vague sets, a generalization of fuzzy sets, are employed to capture the imprecise and uncertain nature of symptoms and their relevance to different diseases. The aim of the present study is to contribute to the development of more reliable and efficient medical diagnostic systems. A numerical example is demonstrated to discuss the proposed method and provides a practical and visual tool to assess potential outcomes of the proposed technique.