Digital transformation (DT) is increasingly becoming an imperative element in the strategic management models followed by Small and Medium-sized Enterprises (SMEs). As digital technologies are playing an increasingly central role in maintaining competitiveness and driving innovation, assessing an SME's digital maturity, and from a strategic viewpoint, has evolved into a considerable management challenge. The current research discusses two fuzzy multi-criteria decision-making techniques: Fuzzy TOPSIS and Fuzzy Analytic Hierarchy Process (Fuzzy AHP). Both methods are applied to the same evaluation crite-ria and SME data set to assess strategic digital maturity across three core constructs: Digital Capabilities, Strategic Agility, and Operational Efficiency. Results show total consistency in the ranking of SMEs, with each method offering distinct analytical perspectives. Fuzzy TOPSIS emphasizes clarity in prioritization and is suitable for rapid diagnostics, while Fuzzy AHP allows for deeper insight into decision structures and strategic priorities. The study demonstrates how both methods can support SME managers in diagnosing digital readiness and aligning digital initiatives with long-term strategic goals. By comparing these approaches, the paper offers a practical contribution to decision-making in digital transformation strategy within the SME context.