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Upravlenie Bol'shimi Sistemami, 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
References:
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.
Document Type: Article
UDC: 519.8+330.4
BBC: 65.6
Language: Russian
Citation: N. A. Abdullaeva, “Fuzzy approach to poverty level forecasting”, UBS, 30 (2010), 98–114
Citation in format AMSBIB
\Bibitem{Abd10}
\by N.~A.~Abdullaeva
\paper Fuzzy approach to poverty level forecasting
\jour UBS
\yr 2010
\vol 30
\pages 98--114
\mathnet{http://mi.mathnet.ru/ubs402}
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  • https://www.mathnet.ru/eng/ubs402
  • https://www.mathnet.ru/eng/ubs/v30/p98
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    Upravlenie Bol'shimi Sistemami
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    References:25
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