Architectonics of the Analysis and Information System "Anti-Crisis"

A. A. Kuklin, S. A. Okhotnikov and L. A. Korshunov

R-Economy, 2016, vol. 2, issue 2, 194-204

Abstract: This article presents a schematic diagram of the «Anticrisis» information analysis system, which aims at a comprehensive assessment of the parameters of the economic security of the Subjects of the Russian Federation while taking into account diverse risks, threats and the forecasting thereof. The schema re ects the interaction of the individual software modules that it comprises. It describes the integration of the modules with a uni ed database management system: access to the database, automatic backup and restore of databases in real-time and transmission of data over an open channel using modern encryption algorithms. The basic units of the system consist in: a unit for diagnosing the state of economic security; a unit for the welfare of the individual and residential area; a unit for extremism; a correlation unit; a modelling unit for the forecasting of the security of Subjects of the Russian Federation. As part of the simulation unit, a primary generalised mathematical model, based on a system of nonlinear differential equations, designed to take account of the correction factors, as well as taking into account all types of interaction indicators, is provided. The main types optimisation problems of interaction metrics are compiled using generalised models. Forecasts from 2016 to 2020 are generated on the basis of constructed optimisation propositions.

Keywords: «ANTICRISIS» INFORMATION ANALYSIS SYSTEM; NONLINEAR PREDICTION; INDIVIDUAL WELFARE AND INHABITED AREAS; SOCIO-ECONOMIC CRISES; THREAT PROBABILITY; DIAGNOSIS OF SOCIO-ECONOMIC STATUS OF THE URAL FEDERAL DISTRICT (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10995/47017 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aiy:journl:v:2:y:2016:i:2:p:194-204

DOI: 10.15826/recon.2016.2.2.017

Access Statistics for this article

R-Economy is currently edited by Irina Turgel

More articles in R-Economy from Ural Federal University, Graduate School of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Irina Turgel ().