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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月2日

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  • Giannis Karagiannis

摘要

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.