No abstract

Attention is focused on the relevance of the use of distance learning technology, in particular on the development, use and integration of a digital library with the modular object-oriented dynamic learning environment Moodle. The problem of development, integration and use of digital libraries, in particular the National Defence University of Ukraine named after Ivan Cherniakhovskyi (NDUU) digital library, is analyzed.

Geographic information systems are increasingly being used in the military sphere and allow a new approach of collecting, processing, displaying and disseminating spatial information, data and knowledge of the territory for effective using in solving military-application problems related to inventory, analysis, modeling, forecasting and management of troops in the context of military operations. This feature stipulates the necessity of processing, not only geographic information, but also operational information, the main component, which is intelligence information. The addition of operational information to the geographic information systems, as a separate component, leads to increased computational complexity and a decrease in their efficiency. In order to increase the efficiency of the application of special-purpose geoinformation systems, reducing computing complexity and creating application software, the author of this article carried out a comparative analysis of the methods of handling various types of intelligence information in geoinformation systems of special purpose. This article uses the basic provisions of the theory of fuzzy sets, factor analysis, the theory of expert systems, neural networks, artificial intelligence, chaotic time series, spectral analysis methods, and others. According to the results of the comparative analysis of the methods of processing various types of intelligent information in geoinformation systems of special purpose, it has been established, that the most expedient method for obtaining an integrated assessment, based on the analysis of factors presented in numerical and verbal form is to use the method of the theory of fuzzy sets and fuzzy output. The direction of further research should be considered the development of a methodology for processing various types of intelligence information in special-purpose geoinformation systems and the development of a method for configuring the knowledge bases of modern information systems for processing various types of intelligence information in special-purpose geographic information systems, based on a genetic algorithm.

The object of research is intelligent decision making support systems. Processing different types of intelligence from a variety of information sources requires significant computational operations with strict time constraints. It leads to the search for new scientific approaches to the processing of various types of geospatial information to increase the efficiency of special purpose systems. This work solves the problem of developing a methodological approach to processing different data types in decision making support systems. During the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The proposed methodological approach was developed taking into account the practical experience of the authors of this work during the military conflicts of the last decade. The results of the research will be useful in: – development of new algorithms for processing different types of data; – substantiation of recommendations for improving the efficiency of processing various data types; – analysis of the operational situation during the hostilities (operations); – creating promising technologies to increase the efficiency of processing various data types; – assessment of the adequacy, reliability, sensitivity of the scientific and methodological apparatus of processing various data types; – development of new and improvement of existing simulation models of various processing data types. Areas of further research will be aimed at developing a methodology for processing various data types in intelligent decision making support systems.

The object of research is intelligent decision making support systems. Processing different types of intelligence from a variety of information sources requires significant computational operations with strict time constraints. It leads to the search for new scientific approaches to the processing of various types of geospatial information to increase the efficiency of special purpose systems. This work solves the problem of developing a methodological approach to processing different data types in decision making support systems.During the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The proposed methodological approach was developed taking into account the practical experience of the authors of this work during the military conflicts of the last decade.The results of the research will be useful in:-development of new algorithms for processing different types of data; -substantiation of recommendations for improving the efficiency of processing various data types; -analysis of the operational situation during the hostilities (operations); -creating promising technologies to increase the efficiency of processing various data types; -assessment of the adequacy, reliability, sensitivity of the scientific and methodological apparatus of processing various data types;-development of new and improvement of existing simulation models of various processing data types.Areas of further research will be aimed at developing a methodology for processing various data types in intelligent decision making support systems.