[Generation of fuzzy network models taught on the basis of data structure for medical expert systems].

Exploratory analysis of the characteristics and structure of the classes under study is suggested to be used for generation of fuzzy decision rules for medical applications. It is shown that the use of the fuzzy set theory in combination with computational experiment makes it possible to reduce the number of computational procedures while maintaining high quality of classification and prediction.