Construction of fuzzy situational-precedent models of regional economic systems using ontologies

The article is devoted to solving the problem of constructing and using models of regional economic systems that take into account management situational aspects. The specifics of information about these systems functioning, which cause difficulties in forming analytical and statistical dependencies, allowed us to conclude that it is advisable to use fuzzy situational models based on precedents for solving this problem. A procedure of constructing fuzzy situational precedent models of regional economic systems is proposed. It is characterized by the presence of additional transitions between nodes of the network graph (states) due to the presence of uncertainty factors leading to different observed reactions of the system to similar control effects. The procedure also allows the use of natural language information, which significantly expands the possibilities for economic and mathematical modeling of situational aspects of rational systems and processes management. This is achieved by applying domain ontology to determine the degree of proximity between the elements of the use case database and the current situation. The results of using the developed software tools implementing the proposed procedure to support decision-making on managing a regional IT cluster when implementing joint programs by its participants showed a fairly high degree of validity of the proposed recommendations.