Citation:
Chovanec P. New criteria for stochastic DEA. Proceedings of the 23rd International Conference Mathematical Methods in Economics 2005. 2005:164-170.
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. Probability inequalities are employed for introducing new criteria, and two special cases for normal and for general distribution are discussed. The strengths of new criteria
are illustrated with a numerical example.
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