Aggregation across decision–making units in radial DEA models without inputs or without outputs

Abstract In this paper, we derive theoretically consistent rules for aggregating (across decision-making units) performance measures that are obtained from different radial DEA models without inputs/outputs or with a single constant input/output. These rules ensure that the resulting aggregate (group) performance measure has the same form and intuitive interpretation as the individual measures.