Citation:
Chovanec P. Production possibility frontier and stochastic programming. Proceedings of the 14th Annual Conference of Doctoral Students -- WDS 2005. 2005:108--113.
Abstract:
By its nature, Data Envelopment Analysis (DEA) leaves no room for uncertainty in data such as measurement errors. To improve this fact, we consider $\alpha$-stochastic efficiency concept, and we relate this problem to the stochastic programming problem. Two types of probability inequalities are employed for introducing new criteria for efficiency.
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