Ilkun O. Decision support system in fuzzy conditions.

The dissertation is focused on the research and creation of methods for developing advanced decision support systems using fuzzy logic, in particular, a diagnostic system for analyzing the patient's health status and forming a primary diagnosis based on expert fuzzy rules and current symptoms. The first chapter of the dissertation focuses on the consideration of decision-making systems and their main components. The key stages and active entities of such systems are described. Particular attention is paid to the detailing of the research problem and the contextual examination of the subject area – the emphasis is on the presentation of the main data of this area, the features of the system entities and the results of its work. The chapter also contains an analysis of information management systems, including the structure of the decision support system and the structure of the expert system, in addition, the features of the application of elements of fuzzy logic and fuzzy inference in such systems are additionally considered. The analysis was carried out and the classification of knowledge according to its main characteristics was provided. The main stages of the life cycle and knowledge acquisition for decision support systems are considered in detail, in particular, the current roles and models of knowledge acquisition. Also, the section reviews existing solutions in this area from the point of view of their capabilities, limitations, and areas of application.