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Cites:

4

Information Journal Paper

Title

RANKING EFFICIENT DMUS WITH STOCHASTIC DATA BY CONSIDERING INEFFICIENT FRONTIER

Pages

  219-226

Abstract

DATA ENVELOPMENT ANALYSIS (DEA) models which evaluate the efficiency of a set of decision making units (DMUs) are unable to discriminate between efficient DMUs. The problem of discriminating between these efficient DMUs is an interesting subject. A large number of methods for fully RANKING both efficient and inefficient DMUs have been proposed.Through real world applications, analysis may encounter data that are not deterministic or on have a stochastic essence but whose distribution can be defined by collecting data in successive periods and by statistical methods. In this paper, a method for RANKING stochastic efficient DMUs is suggested which is based on the full inefficient frontier method. Using a numerical example, we will demonstrate how to use the result.

Cites

References

Cite

APA: Copy

BEHZADI, M.H., NEMATOLLAHI, N., & MIRBOLOUKI, M.. (2009). RANKING EFFICIENT DMUS WITH STOCHASTIC DATA BY CONSIDERING INEFFICIENT FRONTIER. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 1(3), 219-226. SID. https://sid.ir/paper/566603/en

Vancouver: Copy

BEHZADI M.H., NEMATOLLAHI N., MIRBOLOUKI M.. RANKING EFFICIENT DMUS WITH STOCHASTIC DATA BY CONSIDERING INEFFICIENT FRONTIER. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2009;1(3):219-226. Available from: https://sid.ir/paper/566603/en

IEEE: Copy

M.H. BEHZADI, N. NEMATOLLAHI, and M. MIRBOLOUKI, “RANKING EFFICIENT DMUS WITH STOCHASTIC DATA BY CONSIDERING INEFFICIENT FRONTIER,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 1, no. 3, pp. 219–226, 2009, [Online]. Available: https://sid.ir/paper/566603/en

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