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The most characteristic features of the construction of communication systems of groups of troops (forces) during the conduct of hostilities (operations) are a high degree of a priori uncertainty regarding the operational situation and a small amount of initial data for communication planning. In such conditions, it is important to correctly choose the apparatus for evaluating the made management decisions, which will allow the officials of the bodies (points) of the control system of the communication system of the groups of troops (forces) to be confident in the decisions being made. That’s why the issue of increasing the efficiency of the distribution of forces and devices of communication of groups of troops (forces) in the course of operations is an important issue. The object of the research is the communication system of the group of troops (forces). The subject of the study is the effectiveness of the communication system of the group of troops (forces) in accordance with the purpose of the operation. In the research, the method for the distribution of forces and devices of communication of groupings of troops (forces) in operations was developed. The novelty of the proposed method consists in taking into account the type of uncertainty regarding the operational situation in the operational space. As well as taking into account the number of members of the group (users of communication services) of troops (forces) in operations. Also, the novelty of the developed method consists in taking into account the duration of the operation (fighting) and the calculation of the labor costs necessary to meet the needs of the communication services of groups of troops (forces) while planning measures for the distribution and use of forces and radio communication devices. The specified method is proposed to be implemented: – in planning documents during planning of the deployment and operation of forces and radio communication devices; – in the software, during operational management of the communication system of troop groups.

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An improved method of finding solutions based on the cuckoo algorithm is proposed. The research object is the decision-making support systems. The research subject is the decision making process in management tasks using artificial intelligence methods. The hypothesis of the research is to increase the efficiency of decision making with a given assessment reliability. The proposed method is based on a combination of the cuckoo algorithm and evolving artificial neural networks. The method has the following differences: ‒ an additional processing of the source data takes place taking into account the uncertainty about the state of the control objects and the type of data noise about the state of the control object is additionally taken into account; ‒ the state model of the control object is adjusted taking into account the available computing resources of the system; ‒ added procedures to reduce the probability of detecting nests and reducing the length of the cuckoo’s step; ‒ knowledge bases about management objects are additionally taught. The training procedure consists in learning the synaptic weights of the artificial neural network, the type and parameters of the membership function and the architecture of individual elements and the architecture of the artificial neural network as a whole. The effectiveness of the proposed method was evaluated and it was established that the proposed modification provides a better value of the objective function compared to the results obtained by other authors and ensures the fulfillment of all restrictions. The specified example showed an increase in the efficiency of data processing at the level of 21–28 % due to the use of additional improved procedures. It is advisable to use the proposed method in decision making support systems of automated control systems.

The objects of the research are the objects of monitoring of groups of troops (forces). The relevance of the research lies in the need for a comprehensive analysis of monitoring objects from several sources of information. The results of the analysis show that the most reliable and accurate information comes from aerial monitoring, orbital remote sensing of the Earth and radio monitoring. At the same time, instrumental errors of radio monitoring devices do not allow determining the location of sources of radio radiation with the accuracy necessary for localization (neutralization) of threats. A method of integrating the results of radio monitoring and remote sensing of the Earth has been developed. The essence of the proposed research is the complex processing of monitoring results from various sources of information extraction. The difference between the proposed method and the known ones is that the specified method contains the following improved procedures: ‒ taking into account the type of uncertainty about the state of the monitoring object (complete uncertainty, partial uncertainty, full awareness); ‒ carry out a multi-level analysis of the state of the monitoring object according to 4 levels and 3 significant events; ‒ detection of a monitoring object as part of a group monitoring object. The use of the proposed approach to radio monitoring information processing and monitoring using unmanned aerial vehicles/devices of remote sensing of the Earth allows to reduce the time required for deciphering aerospace images by at least 1.3 times. At the same time, the accuracy of determining the coordinates will be limited by the resolution of the equipment of unmanned aerial vehicles/ devices of remote sensing of the Earth and is of the order of 0.5 m.