Анализ одной разновидности систем поддержки принятия решений в медицине с применением нечеткой логики

The article reviews computer techniques of data initialization and processing in one of the varieties of fuzzy decision support systems for medical diagnosis and prognosis. Analyzes the features of the application of mathematical theory of fuzzy sets (fuzzy logic), and provides evidence of the incorrectness of the data initialization in the form of a single set of membership functions defined on the set of values of each single symptom to a class of diagnoses. In addition, the in a decision-making process used a formulas for calculating the coefficients of confidence in the obtained results, the values of which are always equal, which does not allow to distinguish between classes (sets) diagnoses or conditions of the human body.