SYMMETRIC ERROR STRUCTURE IN STOCHASTIC DEA

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BEHZADI M.H.; MIRBOLOUKI M.

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Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS Year:2012 | Volume:4 | Issue:4 Page(s): 335-343

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Information Journal Paper

Title

SYMMETRIC ERROR STRUCTURE IN STOCHASTIC DEA

Author(s)

BEHZADI M.H. | MIRBOLOUKI M. | Issue Writer Certificate

Keywords

DATA ENVELOPMENT ANALYSISQ2

STOCHASTIC PROGRAMMINGQ2

SYMMETRIC ERROR STRUCTUREQ2

Abstract

Stochastic programming is an approach for modeling and solving optimization problem that include uncertain data. Chance constrained programming is one of the most important methods of STOCHASTIC PROGRAMMING. In many real world DATA ENVELOPMENT ANALYSIS (DEA) models, exact amount of data can not be determined. Therefore several researchers proposed methods to evaluate stochastic efficiency of units with random inputs and/or outputs.Most of these methods are nonlinear. In this paper by introducing SYMMETRIC ERROR STRUCTURE for random variables, a linear from of stochastic CCR is provided. Finally, the proposed model is applied on an example.

Cites

APPROXIMATE SOLUTION OF THE STOCHASTIC VOLTERRA INTEGRAL EQUATIONS VIA EXPANSION METHOD

References

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APA: Copy

BEHZADI, M.H., & MIRBOLOUKI, M.. (2012). SYMMETRIC ERROR STRUCTURE IN STOCHASTIC DEA. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 4(4), 335-343. SID. https://sid.ir/paper/231750/en

Vancouver: Copy

BEHZADI M.H., MIRBOLOUKI M.. SYMMETRIC ERROR STRUCTURE IN STOCHASTIC DEA. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2012;4(4):335-343. Available from: https://sid.ir/paper/231750/en

IEEE: Copy

M.H. BEHZADI, and M. MIRBOLOUKI, “SYMMETRIC ERROR STRUCTURE IN STOCHASTIC DEA,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 4, no. 4, pp. 335–343, 2012, [Online]. Available: https://sid.ir/paper/231750/en

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