A Machine Learning Approach to Multi-Criteria Decision-Making via Peer-Prediction Trees and Excess Performance Evaluation
Multi-criteria decision-making methods conventionally rank alternatives by aggregating normalized criterion values into a composite score, an approach that depends on the normalization scheme, requires externally determined criterion weights, and evaluates performance in absolute terms without accounting for inter-crit...