name
Popova Olga Vitalievna
Scholastic degree
—
Academic rank
—
Honorary rank
—
Organization, job position
• Kuban State University
кафедра интеллектуальных информационных систем
преподаватель
Research interests
финансово-экономическое состояние регионов и предприятий, социально-экономическое состояние регионов, математические методы в экономике, финансовая математика, математические модели
Web site url
—
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 1
Сформировать список работ, опубликованных в Научном журнале КубГАУ
-
05.13.18 Mathematical modeling, numerical methods and software complexes
Description
The article presents ways to estimate the socio-economic condition of the subjects of the Russian Federation using fuzzy production systems, discriminant analysis and neural networks. This study is based on the thirteen indicators of the socio-economic condition of the regions of the Russian Federation identified by RIA Rating rating agency. The goal of the work is to develop a software package combining the estimation methods above and allowing to get three alternative estimation options for a subject of the Russian Federation, using these thirteen indicators. The developed program assigns each region an estimation from the following set: AAA– the highest socio-economic condition, AA - very high, A– high, BBB– above average, BB– average, B– below average, CCC– low, CC– very low, C– the lowest indicators of the socio-economic conditions in the region of the Russian Federation. The software package is developed in Matlab and has an intuitive interface. The results can be used as an alternative to current methods of estimation of the socio-economic indicators
pdf 250.026kb
doc 250.026kb