An explainable and interpretable composite indicator based on decision rules

Key Points

• The composite indicator enhances interpretability and decision-making processes, allowing for clearer assessments.
• Results indicate that the use of decision rules significantly boosts the explainability of the outcomes derived.
• Assessment employs an explainable algorithm that integrates various decision-making rules for reporting outcomes.
• Implications highlight the need for interpretable metrics in diverse applications, fostering better understanding overall.