Transformation of the decision support system model for standard situations using intellectual and analytical methods

The article discusses the issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the article is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main components of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of scenarios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to support decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situations; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was determined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solution for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be improved by using the proposed methods and implementing a decision support system with an intelligent component.