Fuzzy membership function and input/output parameter for diagnosis of rheumatic fever

Abstract

This paper describes a suitable fuzzy membership function and input/output parameter for diagnosis of Rheumatic Fever (RF) in Nepal. The current case in Nepal is that computerized health informatics systems and appropriate data sets of RF are not available. Also, some signs and symptoms of RF do not reflect the measurement numerical values. These signs and symptoms will expresses in linguistic variables based on the doctor’s belief. Therefore, it is quite hard to determine the membership functions and input/output parameter. We purposed manual adjustable methods to determine the input/output parameters and membership function based on the predefine set of fuzzy rules. We tested different membership functions and changed the output parameter values until the suitable result is not achieved. We applied this method to diagnoses of arthritis pain and evaluated a system in Matlab Fuzzy toolbox. In this paper, we focus on the evaluation the different membership functions with different input/output parameters and present the results