ENTROPY AS AN INDICATOR OF ECONOMIC SECURITY FOR ASSESSING SYSTEM STABILITY
Abstract
The article examines entropy as an indicator of economic security for assessing system stability. Entropy is interpreted as a quantitative measure of uncertainty reflecting the variability, coherence, and internal structure of economic systems. The study applies an entropy-based approach to indicators of cybersecurity, innovation, and human development, enabling a multidimensional assessment of system stability and resilience. The results demonstrate that lower entropy values correspond to higher levels of stability, predictability, and controllability, while higher entropy indicates increased fragmentation, vulnerability, and systemic risk. The findings confirm that entropy can serve as a complementary analytical tool for assessing economic security and identifying hidden structural imbalances in economic systems.
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