RUS  ENG
Full version
JOURNALS // Upravlenie Bol'shimi Sistemami // Archive

UBS, 2010 Issue 30, Pages 98–114 (Mi ubs402)

Control in Social and Economic Systems

Fuzzy approach to poverty level forecasting

N. A. Abdullaeva

Institute of Cybernetics of ANAS, Baku

Abstract: Poverty level in Azerbaijan is studied as a function of personal income, unemployment coefficient, inflation rate, living wage and is forecasted to the next three years. So far forecasting problems of this sort were solved with the aim of classical linear regressions. In this article the fuzzy regression model was offered for poverty level forecasting.

Keywords: poverty level, personal income, unemployment coefficient, inflation rate, living wage, fuzzy regression model.

UDC: 519.8+330.4
BBK: 65.6



© Steklov Math. Inst. of RAS, 2024