AGGREGATED RATIO ANALYSIS IN DEA Zha, Yong; Liang, Liang

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Authors
Zha, Yong ; Liang, Liang
Appears In
International Journal of Information Technology & Decision Making
Subjects
Computers; Analysis
Audience
Academic
Summary
To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1142/S0219622014500114 Byline: Yong Zha, Liang Liang DEA and ratio analysis are commonly viewed as alternatively effective tools in assessing the performance of different DMUs. Many researches have been developed to reveal their inherent relationship and to explore the integration of both methods as well. In this paper, we first question TheoremA 1 by Wu etA al. (International Journal of Information Technology & Decision Making 4(3) (2005) 369--384) and illustrate a counter example to show the nonequivalence between the aggregated ratio model they proposed and CCR model. The errors which existed in its proof are also indicated. Further, an improved aggregated ratio model is established to better comprehend the inner relationship between the two methods. We demonstrate its equivalence to traditional CCR model, and propose an inference that the observed DMU is ratio efficient if and only if it is CCR efficient. Numerical analysis carefully describes the nontrivial difference between the proposed model and that by Wu etA al. (International Journal of Information Technology & Decision Making 4(3) (2005) 369--384), and validates the feasibility of our model.
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http://trove.nla.gov.au/work/34194
Work ID
34194

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e.g. test cricket, Perth (WA), "Parkes, Henry"

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