Abstract
This paper presents two diff erent models for Data Envelopment Analysis with uncertain outputs. The corresponding deterministic formulations are obtained via a scenario approach which does not depend on the underlying distribution of data. These models are compared with similar formulations based on an expected value approach and a full computational test is carried out in order to validate them
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