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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
DATA ENVELOPMENT ANALYSIS and Confident-DEA

DATA ENVELOPMENT ANALYSIS and Confident-DEA

Gattoufi, Said

Paperback

Management

ISBN10: 3639131010
ISBN13: 9783639131017
Publisher: Blues Kids Of Amer
Published: Mar 13 2009
Pages: 180
Weight: 0.60
Height: 0.41 Width: 6.00 Depth: 9.00
Language: English
This work contributes to the Data Envelopment Analysis (DEA) literature at three ways. First, it extends the roots of DEA by providing an analytical approach deriving the basic Charnes- Cooper-Rhodes (1978) model from the Weak Axiom of Profit Maximization (WAPM) of Firm Theory. Second, this work provides a systematic way for classifying the existing DEA literature by offering a taxonomy. Finally, a theoretical contribution to the literature, Confident-DEA approach, is proposed involving a bilevel convex optimization model to which a Genetic-Algorithm-based solution method is suggested. Complementing previous DEA methodologies, which provides single valued efficiency measures, Confident-DEA provides a range of values for the efficiency measures, an efficiency confidence interval and hence the name, reflecting the imprecision in data. Monte-Carlo simulation is used to determine the distribution of the efficiency measures, taking into account the distribution of the bounded imprecise data over their corresponding intervals. Confident-DEA is applied to predict the efficiency of banking systems in OECD countries.

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