1. The problem is to understand and apply FMEA (Failure Mode and Effects Analysis) using a fuzzy approach in the context of tofu production. 2. FMEA is a systematic method for evaluating processes to identify where and how they might fail and assessing the relative impact of different failures. 3. Traditional FMEA uses crisp values for Risk Priority Number (RPN) calculated as $$RPN = Severity \times Occurrence \times Detection$$. 4. In a fuzzy approach, these factors are represented by fuzzy numbers to handle uncertainty and vagueness in expert judgments. 5. For example, Severity, Occurrence, and Detection can be represented by fuzzy sets such as low, medium, and high with membership functions. 6. The fuzzy RPN is then computed using fuzzy arithmetic, combining the fuzzy inputs to produce a fuzzy output. 7. Finally, defuzzification methods (like centroid method) are used to convert the fuzzy RPN into a crisp value for decision making. 8. This approach allows better handling of uncertainty in tofu production failure analysis, improving prioritization of risks.