Alternate procedure for the diagnosis of malaria via intuitionistic fuzzy sets

Abstract

Malaria is a disease, which affects many people around the globe. In this study, we propose a fuzzy diagnosis approach for the clinical diagnosis of the type of malaria which affects the patient. By the help of the prescribed method, one can easily diagnose the type of malaria, without conducting any laboratory test. On the basis of relation between symptoms and various types of infection present in patients, we develop hypothetical medical information-based case study of patients with assigned degree of membership, non-membership, and intuitionistic index. By using the procedure, we can easily diagnose the type of malaria; for example, patient p 1 is suffering from Plasmodium malariae (Pm), p 2 is suffering from Plasmodium ovale (Po), p 3 is suffering from Plasmodium falciparum (Pf), and p 4 is suffering from Plasmodium vivax (Pv) and P. malariae (Pm). Also, we can develop a computer program for the proposed procedure.