Design and Implementation of Fuzzy Assessment Methodology using K Ratio for Fuzzy Expert System

This paper expresses the prominent features of the fuzzy expert system by applying the algorithm Fuzzy Assessment Methodology using K ratio. To diagnosis the diabetes Fuzzy Assessment Methodology using k ratio is developed. Fuzzy Expert System consists of following elements such as Fuzzification interface, Fuzzy Assessment Methodology using K ratio and Defuzzification interface. The crisp values are transferred into fuzzy values by Fuzzification interface. Fuzzy Assessment Methodology using K ratio is constructed with K ratio, correlation fuzzy logic and fact values to manage uncertainty in rules. The overlapping between the membership function are identified by K ratio using Fuzzy Mid Value, Fuzzy Start Value. Fact values are computed by Measure of Credulity and Measure of Incredulity. Fuzzy set are transferred into crisp values by Defuzzification interface. The efficiency of the proposed algorithm is carried by using MATLAB Fuzzy Logic tool box to diagnosis diabetes.