Оценка финансовой устойчивости предприятий на основе нечетких множеств

Abstract

Assessing financial stability is crucial for enterprises operating in conditions of economic uncertainty. Traditional financial evaluation methods often fail to account for the gradual transitions between stability and distress. This study proposes a fuzzy logic-based approach that integrates linguistic variables and a double convolution algorithm to enhance accuracy. The results demonstrate that the proposed model provides a more adaptive and reliable assessment compared to conventional methods