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Taxation management in regional system based on the intelligent methods and models

Keywords:

L.A. Ismagilova, E.V. Orlova


The dynamic of economic situation requires the solution of two contradictional and related problems in the tax system. On the one hand, it is necessary to complete the state budget and to balance the income and expenditure, providing a huge amount of federal funding and regional needs. On the other hand, there is a strong need to improve production efficiency by means of lowering taxes, to increase living standards, to improve the enterprises investment attractiveness. In the article there is described the developed intelligent information technology for evaluation and prediction of tax revenue, which allow to obtain reliable and accurate results. These technology integrate the following models: neural network model for classify the taxation subject by structure of the tax payments; tax revenue prediction model based on the fuzzy theory and regression methods.
References:
  1. Ismagilova L.A., Orlova E.V. EHffektivnoe upravlenie raznourovnevymi ehkonomicheskimi sistemami. M: Mashinostroenie. 2012.
  2. Orlova E.V. EHkonomiko-matematicheskijj instrumentarijj upravlenija ehkonomicheskojj sistemojj v uslovijakh neopredelennosti. Ufa: UGATU. 2012.
  3. Ismagilova L.A., Orlova E.V. Nejjrosetevye tekhnologii v ehkonomike: sravnenie s klassicheskimi metodami // Nejjrokompjutery: razrabotka, primenenie. 2004. № 9. S. 49-57.

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