Abstract
For certain problems of predictive medicine, early and differential diagnosis in construction of relevant expert systems are best solved using methods of fuzzy decision-making adapted to classification problems. For selection of shape and parameters of membership functions of studied classes of states and methods of their aggregation, the use of the methodology of exploratory analysis followed by unification of particular decision rules into fuzzy groups that provide the best quality of classification is proposed. Recommendations are given for the synthesis of partial fuzzy decision rules and their groups to build a knowledge base of medical expert systems.
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