Diagnosis of vector-borne diseases using MCDM techniques

Abstract

Vector-borne diseases (VBDs) are one of the major problems of human are affecting adversely to people each year in every part of the world. In this work multiple decision-making technique is used to provide a better diagnosis for VBDs. It evaluates alternative diseases having contradictory symptoms. It is very tough to exactly determine crsiteria weight as well as rating of alternatives (diseases) on each criterion. Here VIKOR approach is applied for medical diagnosis of VBDs such as malaria, chikungunya, and dengue, and also used the notion of intuitionistic fuzzy set (IFS) theory to explain this concept. Furthermore, criteria selected according to relevant disease and weights assigned to them by medical experts. In order to accomplish the objective, patients’ data has been acquired using a questionnaire from three medical experts of Delhi region. The study shows that final outcomes are same as diagnosed by doctors regarding actual diseases as that by employing VIKOR technique based on questionnaire information. Thus, MCDM methodology can help in correct and timely diagnosis of VBDs and provides doctors a scientific diagnostic tool.