Abstract
Cross efficiency evaluation is an effective method for ranking decision marking units in data envelopment analysis (DEA) and can be performed with different secondary goals. This paper proposes new alternative models and algorithm for DEA cross efficiency evaluation to provide more methodological options for the decision marker to choose then. The model is illustrated with examples.
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