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- W4386136725 abstract "Using of intelligent techniques in analyzing complex socio-economic systems makes it possible to expand the diagnostic and prognostic capabilities of a decision support systems. The implemented modules of the decision support system for assessing and predicting the risks’ level of the regions’ competitiveness were presented. The functionality of the application provides the use of both fuzzy-logical methods for a comprehensive assessment of the regions competitiveness, and tools for modeling the dynamics of risks based on Chapman–Kolmogorov equations. The developed methodology for applying these models was tested for 78 regions of the Russian Federation. As a result of the benchmarking analysis, the leading regions were identified both in terms of the current level of competitiveness risks and taking into account their dynamics." @default.
- W4386136725 created "2023-08-25" @default.
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- W4386136725 date "2023-01-01" @default.
- W4386136725 modified "2023-10-11" @default.
- W4386136725 title "Development of a Decision Support System for Assessing and Monitoring Regional Competitiveness Risks" @default.
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- W4386136725 doi "https://doi.org/10.1007/978-3-031-35875-3_13" @default.
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