bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)

   

    About this Journal

   Information for Authors

   Editorial Board

   Editorial Calendar

   Current Issue

   Browse Journal

S&T journal's cover

Submit Press Release

Submit White Paper

25 Top Downloaded Articles (2007-2012)

Search

Contact Us

 

 

 

 

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

 

Bullet

 

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.

 

Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format

 

 

This work is licensed under a Creative Commons 4.0 International License

 

 Creative Commons License
 

 

 

 

 


1999 - 2019 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn