A MEDICAL DIAGNOSIS BASED ON INTERVAL-VALUED FUZZY SETS

Abstract

In this paper, we propose a fuzzy diagnostic method based on interval-valued intuitionistic fuzzy sets. For this purpose, we developed an interval-valued interview chart with interval fuzzy degree assigned to the relation among symptoms and diseases, and utilized the interval-valued intuitionistic fuzzy weighted arithmetic average operator to aggregate fuzzy information from the symptoms. In addition, we suggest a diagnosis measure using the occurrence proportion of patient's symptoms. Finally, an illustrative example is given to demonstrate its practicality and effectiveness.