SHAP-Rule demonstrates improved interpretability and efficiency in diagnostic decision-support systems, indicating its potential in various applications.
Key Points
Diagnostic decision-support systems benefit from enhanced interpretability and efficiency with SHAP-Rule.
SHAP-Rule's linguistic explanations show increased clarity, gaining high expert ratings for simplicity.
Comparison reveals SHAP-Rule surpassed traditional SHAP methods while analyzing data from power transformers and diabetes patients.
High global fidelity near 100% suggests SHAP-Rule's strong reliability for real-time applications involving fuzzy logic.