Diagnosis of heart disease using Advanced Fuzzy resolution Mechanism
Atul Kumar · 2013
Heart disease is a disorder that affects the heart, the number one killer of human community. To diagnosis the heart patients the study was conducted. The components of this study are Fuzzification, Advanced Fuzzy Resolution Mechanism and defuzzification. Crisp values are transferred into fuzzy values through the fuzzification. Advanced fuzzy resolution mechanism uses predicted value to diagnosis the heart disease with five layers, each layer has its own nodes. The proposed mechanism is tested with Cleveland heart disease dataset. Advanced Fuzzy Resolution Mechanism was developed using MATLAB. Defuzzification converts the fuzzy set into crisp values. The proposed method with predicted value technique can work more efficiently for diagnosis of heart disease and also compared with earlier method using accuracy as metrics.