Dimensions overall score 7.0

• The Gödel t-norm operator (T_G) achieves the highest classification accuracy (84.5%) in the EU AI Act compliance classification system.result 95%
• The Gödel t-norm operator (T_G) achieves the best recall (85%) on borderline cases in the classification task.result 90%
• The Lukasiewicz (T_L) and Product (T_P) t-norm operators maintain zero false positives in the classification system.result 95%
• The Gödel t-norm operator (T_G) introduces 8 false positives (0.8%) due to min-semantics over-classification.limitation 90%
• All three t-norm operators (Lukasiewicz, Product, and Gödel) differ significantly in classification performance (McNemar p<0.001).result 90%
• The Product t-norm operator (T_P) outperforms the Lukasiewicz operator (T_L) in classification accuracy (81.2% vs. 78.5%).result 90%
• LGGT+ is the first open-source architecture combining Łukasiewicz t-norms as runtime inference operators, graph transformers, and auditable proof trails.technical 85%
• Operator choice is secondary to rule base completeness in achieving accurate EU AI Act compliance classification.result 80%

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