ABSTRACT
The fuzzy logic and expert system is an important technique to enhance the machine learning reasoning. In this paper, we
propose a fuzzy expert system framework which constructs large scale knowledge based system effectively for diabetes. The
knowledge is constructed by using the fuzzification to convert crisp values into fuzzy values. By applying the fuzzy verdict
mechanism, diagnosis of diabetes becomes simple for medical practitioners. Fuzzy verdict mechanism uses triangular
membership function with mamdaniĆs inference. Defuzzification method is adopted to convert the fuzzy values into crisp
values. The result of the proposed method is compared with earlier method using accuracy as metrics. The proposed fuzzy
expert system can work more effectively for diabetes application and also improves the accuracy of fuzzy expert system.
Keywords: - Diabetes application, Fuzzification, Fuzzy Verdict Mechanism, Fuzzy Expert System