About the article
G.B. BURDO1, Dr. Sc., E.G. PORTENKO2, Dr. Sc., N.A. VASHNEVSKAYA2, Cand. Sc.
The article discusses one of the approaches to the creation of intelligent expert decision support systems for the diagnosis of chronic pharyngeal diseases. design systems by technological processes of mechanical processing. The approach is based on generalizing the experience of diagnosing diseases. Groups of parameters taken into account in the diagnosis of ENT diseases of this type were identified. Each group of parameters, as well as each of them, were assigned weights by experts, allowing them to assess the expectation of confirmation of the expected forecast. Based on these data, by developing production models of knowledge and implementing the fuzzy sets methodology, algorithms were developed to assess the degree of confidence in the correctness of the diagnosis.
decision support, fuzzy sets, artificial intelligence, production models, diagnostics, ENT diseases