Konstantin V. Simonov, Mikhail A. Kurako, Alexey A. Kabanov, Fedor P. Kapsargin, Lubov F. Zueva, Artem V. Ershov, Svetlana N. Grib, “Data modeling in the solution of hard-to-formalise socio-economic problems”, J. Sib. Fed. Univ. Math. Phys., 2019, Volume 12, Issue 2,Pages <nobr>249

This article is cited in 1 paper

Data modeling in the solution of hard-to-formalise socio-economic problems

Konstantin V. Simonov^a, Mikhail A. Kurako^b, Alexey A. Kabanov^c, Fedor P. Kapsargin^d, Lubov F. Zueva^d, Artem V. Ershov^d, Svetlana N. Grib^e

^a Institute of Computational Modeling SB RAS, Academgorodok 50/44, Krasnoyarsk, 660036, Russia
^b School of Space and Information Technologies, Siberian Federal University, Svobodny 79, Krasnoyarsk, 660041, Russia
^c SDTB Science ICT SB RAS, Mira pr. 53, Krasnoyarsk, 660049, Russia
^d Krasnoyarsk State Medical University, Partizana Zheleznyaka st., 1, Krasnoyarsk, 660022, Russia
^e School of Economics, Management and Environmental Studies, Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia

Abstract: Algorithms for data modeling in the solution of hard-to-formalize social problems are considered in the paper. They are connected with the healthcare in terms of interconnections and interactions of territories of the Yenisei Siberia where the Krasnoyarsk Krai is the key region. Elements of information system for the analysis of the current state and estimation of the scenarios of future interaction of the territories of the Yenisei economic zone are considered to solve the problems. GIS technologies and modern approaches to model various data are described.

Keywords: data analysis algorithms, databases, GIS, data modelling, neural networks.

UDC: 004.94

Received: 29.11.2018
Received in revised form: 20.01.2019
Accepted: 20.02.2019

Language: English

DOI: 10.17516/1997-1397-2019-12-2-249-260