Prediction of Diabetes using Vague Set Theory.

      Аннотация: Disease diagnosis is very important for the treatment of the disease. Therefore a more accurate diagnosis mechanism is required that can accurately diagnose the disease in its early stage. This study aims to develop a diabetes diagnosis mechanism that can accurately predict whether a person is diabetic or not based on the given input data of patients. Two expert systems have been proposed. One is Fuzzy Logic Based Diabetes Diagnosis System (FLDDS) which is based on the fuzzy logic and other one is Vague Diabetes Diagnosis System (VDDS) which is based on the concept of vague logic.

Ключевые слова: Fuzzy Set Theory, vague set theory, diabetes diagnosis