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Vol. 234, Issue 6, June 2019, pp. 44-49




Information and Analytical Support for Decision-making in the Management of the ICT Industry
in the Regions of the Russian Federation

1 Nafisa I. Yusupova, 1 Olga N. Smetanina, 1 Ekaterina Yu. Sazonova, 1 Anna G. Ionis, 2Andrey Morozov and 1 Tagir I. Fabarisov

1 Ufa State Aviation Technical University, Ufa, Russia
2 Dresden University of Technology, Dresden, Germany
E-mail: yussupova@ugatu.ac.ru, smoljushka@mail.ru, rassadnikova_ekaterina@mail.ru,

solomonarmkeys@gmail.com, andrey.morozov@tu-dresden.de, flatagir@gmail.com


Received: 15 May 2019 /Accepted: 15 June 2019 /Published: 30 June 2019

Digital Sensors and Sensor Sysstems


Abstract: The article substantiates the relevance of the study due to the fact that innovation policy in the field of information activities has a great impact on the economic growth of the state. Implementation of the industry 4.0 concept and the digital economy of the Russian Federation program presuppose further improvement of information and communication technologies and development of ICT industry in the regions of Russia. The results of studies of the current state of the problem in the field of management of the level of development of information and communication technologies in the regions of Russia. However, when dividing the state into a large number of territorial units, there is a problem of significant differentiation for the same indicator in different regions. In this regard, the article reflects the question of the appropriateness of fuzzy logic to assess the level of development in the selected region. The use of fuzzy logic allows to take into account heterogeneous characteristics in the analysis of the industry, as well as to provide fuzzy descriptions using linguistic variables. The described model contains 35 indicators of the industry transformed into 12 linguistic variables characterizing the development of the industry at the regional level. The model contains a base of rules, which allows to identify priority areas in the development, due to the symbiosis of qualitative and quantitative indicators. Also, the problem statement for the management tools of the information and communication technologies industry is performed, the expediency of developing its own decision support system is justified. The simulation results can be used by decision makers to develop a plan of effective measures for the development of information and communication technologies in the region.


Keywords: Neural network technology, Data mining, Decision support, Factor analysis, Information and communications technology.


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