A multi-criteria rank-based aggregation method that combines LIME, SHAP, and ANCHOR explanations, weighted by new rank-based complexity, faithfulness, and stability metrics, is proposed and tested on five datasets.
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Multi-criteria Rank-based Aggregation for Explainable AI
A multi-criteria rank-based aggregation method that combines LIME, SHAP, and ANCHOR explanations, weighted by new rank-based complexity, faithfulness, and stability metrics, is proposed and tested on five datasets.