METHOD FOR SYNTHESIZING LOGICAL CLASSIFICATION TREES BASED ON THE SELECTION OF ELEMENTARY FEATURES
The general problem of constructing logical recognition and classification trees is considered. The object of this study is logical classification trees. The subject of the research is current methods and algorithms for constructing logical classification trees. The aim of the work is to create a simple and effective method for constructing recognition models based on classification trees for training samples of discrete information, which is characterized by elementary features in the structure of synthesized logical classification trees.