The rapid digital transformation of economic systems demands advanced analytical tools capable of managing complexity, uncertainty, and dynamic change. Fuzzy logic, with its capacity to model imprecise information and human-like reasoning, has emerged as a powerful approach in addressing these challenges. This article explores the pivotal role of fuzzy logic in the digital transformation of economics, focusing on its application in decision-making, strategic planning, and predictive analytics. By integrating fuzzy inference systems with digital technologies such as big data analytics, artificial intelligence, and blockchain, the study highlights innovative strategies that enhance economic adaptability and resilience. Real-world case studies and simulation models demonstrate how fuzzy logic supports more flexible, robust, and intelligent economic systems. The findings suggest that fuzzy logic not only bridges the gap between traditional economic models and digital innovation but also plays a critical role in shaping data-driven, sustainable economic strategies for the future.