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Evaluation of Innovative Changes in the Structure of Economy of Regions on the Basis of Statistical Analysis and Theory of Fuzzy Sets

  • Aleksandr R. GroshevEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)

Abstract

The study developed a model for determining the influence of macroeconomic factors on tax revenues, based on the application of the theory of algebra functions, elements of fuzzy sets and the analysis of proportional dependencies to predict income in the monoprophilic economy of the regions on the example of the Khanty-Mansiysk Autonomous Okrug – Ugra (KHMAO - Ugra) of Russia. An aggregated variable representing a nonlinear function of external (independent of the change in the structure of the district economy) forecast factors is introduced. The analysis indicates the possibility of using the fuzzy sets to predict budget revenues using aggregated variables.

Keywords

Fuzzy sets in the economy Forecasting budget revenue Aggregated variables 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Surgut State UniversitySurgutRussia

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