Визначено невідповідність між практичною потребою у забезпеченні обґрунтованості вибору складу сучасного бортового обладнання для модернізації бойових літаків та обмеженими можливостями існуючих методик вибору, що визначає актуальність даної статті. В роботі наведено використання науково-методичного апарату багатокритерійного вибору при визначенні складу бортового обладнання бойових літаків для розширення їх бойових можливостей шляхом модернізації. Запропоновано науково-методичний підхід з визначення у багатокритерійному просторі результуючої множини варіантів складу бортового обладнання бойових літаків при їх модернізації.

The main provisions of solving the problem of multi-criteria selection of the composition and placement of the option of on-board equipment during the modernization of military aircraft are considered.

In the article is given methodical approach of determining and confirming of main traction force characteristics of different purpose missiles solid fuel engines. The probability of failure-free operation at the define functionality time is proposed as basis reliability rate, which is calculated with taking into account the structural functional scheme of solid fuel engines which are under research. This approach allows to taking into account the construction peculiarities of engines components parts and elements and interconnection between them. In the article also given interconnection between speed of guided missiles at the end of active flying trajectory and traction force impulse of their solid fuel engines which are defining from tests results.

The problem that is being solved in the research is to increase the efficiency of decision-making in management tasks while ensuring the given reliability, regardless of the hierarchical nature of the object. The object of research is the decision-making support systems. The subject of the research is the decision-making process in management tasks using an improved cat flock algorithm. The research hypothesis is the possibility of increasing the efficiency of decision-making with a given assessment reliability. In the course of the research, an improved method of parametric optimization based on the improved algorithm of the cat flock was proposed. In the course of the research, the general provisions of the theory of artificial intelligence were used to solve the problem of analyzing the state of objects and subsequent parametric management in intelligent decision-making support systems. The essence of the method improvement lies in the use of the following procedures, which improve basic procedures of the cat flock algorithm, namely, search and chase: – training of individuals of a cat flock with the help of evolving artificial neural networks; – taking into account the type of uncertainty of the initial data while constructing the metric of the path of the cat flock, which reduces the time of searching for the optimal solution; – searching for a solution in several directions using individuals from the cat flock, which reduces the time of searching for the optimal solution; – initial display of individuals from the cat flock not randomly; – additional consideration of the chase parameter, which limits the chase area, which allows to take into account the priority of the search; – the ability to determine the need to involve additional network hardware resources. An example of the use of the proposed method is presented on the example of assessing the state of the operational situation of a group of troops (forces). The specified example showed a 17–23 % increase in the efficiency of data processing due to the use of additional improved procedures

The article analyzes the methods of solving the scientific and applied problem of choosing from a set of competing offers of onboard equipment when creating or modernizing military aircraft when creating or modernizing military aircraft. A possible scientific and methodological approach to solving this problem is proposed, which increases the level of validity of the results of choosing a specific variant of onboard equipment and eliminates the influence of external factors, primarily lobbying.