Efficiency of DMUs with Interval Data under the Hypotheses of Weak Data Consistency

Abstract:

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The original data envelopment analysis (DEA) measures the efficiencies of decision making units(DMUs) with exact values of inputs and outputs. For interval data, some methods have been developed to calculate the interval efficiencies, however, the result of classic method always have high uncertainties. This paper proposes the hypothesis of weak data consistency in DEA. LP (linear programming) models to solve the upper and lower bounds of interval efficiencies are established. Lengths of efficiency intervals under the hypotheses are shorter the its limiting case is the result of DEA model under the hypotheses of data consistency

Info:

Periodical:

Advanced Materials Research (Volumes 171-172)

Edited by:

Zhihua Xu, Gang Shen and Sally Lin

Pages:

86-89

DOI:

10.4028/www.scientific.net/AMR.171-172.86

Citation:

J. F. Wang and S. F. Liu, "Efficiency of DMUs with Interval Data under the Hypotheses of Weak Data Consistency", Advanced Materials Research, Vols. 171-172, pp. 86-89, 2011

Online since:

December 2010

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Price:

$35.00

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