Fuzzy Logic for Defect Classification

Fuzzy Logic for Defect Classification applies advanced reasoning techniques to evaluate and categorize defects when data is imprecise or subjective. Unlike traditional binary logic, fuzzy logic allows for degrees of truth, making it ideal for complex manufacturing or inspection environments. It improves classification accuracy, supports better quality decisions, and enhances automated defect detection systems by reducing false positives and misclassification risks.