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Upravlenie Bol'shimi Sistemami, 2010, Issue 30, Pages 98–114
(Mi ubs402)
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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.
Citation:
N. A. Abdullaeva, “Fuzzy approach to poverty level forecasting”, UBS, 30 (2010), 98–114
Linking options:
https://www.mathnet.ru/eng/ubs402 https://www.mathnet.ru/eng/ubs/v30/p98
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Statistics & downloads: |
Abstract page: | 239 | Full-text PDF : | 169 | References: | 25 | First page: | 2 |
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