Abstract

Formulating regional development goals stands out as an important part of the state regional policy, which in its essence has a purposeful character reflected in the state’s permanent influence on the socio-economic development of the country's regions. Analysis of modern research on the issue has shown urgent need to deepen the theoretical foundations and toolkit for solving problematic situations in the regions, the latter being the purpose of the study. The theoretical basis to enable setting the goals (goal-setting) for regional development is substantiated. It is proved that the cognitive approach is among the most powerful tools for studying poorly structured systems and situations, and the expediency of using fuzzy cognitive modeling to form regional development scenarios and solve problematic situations present in the relevant regions is substantiated. A special algorithm to carry out structural analysis of socio-economic regional development and to form a fuzzy cognitive model has been designed. Using this algorithm, a fuzzy cognitive model of socio-economic development of Ukraine’s regions has been formed. Pulse modeling based on the fuzzy cognitive model of socio-economic development of Ukraine’s regions by the self-development scenario is carried out. Scenario modeling has been implemented as for raising the strategic goals level of socio-economic development in the Kharkiv region on the basis of pulse modeling. The expediency of introducing a criterion showing the total impact effectiveness of certain scenarios exerted on goals achievement topical for the Kharkiv region is analyzed. It is substantiated that this criterion should be based on weighted additive convolution of the growth rate as for the level of target factors relative to the self-development scenario. The scenario modeling of the Kharkiv region socio-economic development based on the cognitive model formed in accordance with the approach mentioned above shows that reaching the top level of the region’s goals requires implementing development scenarios based on the effective growth of the region’s scientific potential and its combination with other domestic potentials.

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