To address this limitation, we propose an aggregation technique based on multi-criteria decision analysis (MCDA). MCDA is a research field at the intersection of economics, computer science, and mathematics. It develops and examines aggregation methods for decision-making involving conflicting criteria. Its applications encompass a wide range of fields , ranging from management to artificial intelligence, with diverse focus areas such as healthcare (e.g., making diagnoses, evaluating potential treatments ), energy (e.g., selecting optimal renewable energy sources ), transportation (e.g., logistics optimization ) and environmental management (e.g., resource allocation ). MCDA integrates the knowledge and preferences of decision-makers and experts into models that also offer explanations for the resulting outcomes.