1. A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran
- Author
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Sadjadi, S.J., Omrani, H., Abdollahzadeh, S., Alinaghian, M., and Mohammadi, H.
- Subjects
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GAS companies , *RANKING , *DATA envelopment analysis , *ROBUST control , *STOCHASTIC processes , *MATHEMATICAL optimization , *GROUP decision making , *UNCERTAINTY (Information theory) , *PERTURBATION theory - Abstract
Abstract: Conventional super-efficiency data envelopment analysis (DEA) models require the exact information of inputs or outputs. However, in many real world applications this simple assumption does not hold. Stochastic super-efficiency is one of recent methods which could handle uncertainty in data. Stochastic super-efficiency DEA models are normally formulated based on chance constraint programming. The method is used to estimate the efficiency of various decision making units (DMUs). In stochastic chance constraint super-efficiency DEA, the distinction of probability distribution function for input/output data is difficult and also, in several cases, there is not enough data for estimating of distribution function. We present a new method which incorporates the robust counterpart of super-efficiency DEA. The perturbation and uncertainty in data is assumed as ellipsoidal set and the robust super-efficiency DEA model is extended. The implementation of the proposed method of this paper is applied for ranking different gas companies in Iran. [Copyright &y& Elsevier]
- Published
- 2011
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