A distributionally robust optimization approach for data envelopment analysis under uncertainty with an application to Chinese airports
Uncertainty is an inherent characteristic of the business environment, making it crucial to address uncertainty in data envelopment analysis (DEA) for reliable performance evaluation. In this paper, we propose a distributionally robust optimization approach to capture the underlying probability distribution of uncert...