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Fuzzy context-dependent data envelopment analysis

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  • Meiqiang Wang
  • Liang Liang
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    Abstract

    The original context-dependent Data Envelopment Analysis (DEA) is developed to measure the attractiveness and progress of Decision-Making Units (DMUs) based on a given evaluation context and different strata of efficient frontiers, rather than the traditional first-level efficient frontier, are used as evaluation contexts. It is limited to crisp data. To deal with imprecise data, this paper introduces the notion of fuzziness and develops a procedure to provide finer evaluation results of DMUs with fuzzy observations based on the original context- dependent DEA by using a ranking method based on the comparison of α-cuts. The proposed approach is an extension to the fuzzy environment of the original context-dependent DEA; it represents some real-life processes more appropriately. A numerical example is used to illustrate the approach.

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    Bibliographic Info

    Article provided by Inderscience Enterprises Ltd in its journal Int. J. of Data Analysis Techniques and Strategies.

    Volume (Year): 1 (2009)
    Issue (Month): 3 ()
    Pages: 211-223

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    Handle: RePEc:ids:injdan:v:1:y:2009:i:3:p:211-223

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    Web page: http://www.inderscience.com/browse/index.php?journalID=282

    Related research

    Keywords: fuzzy DEA; context-dependent DEA; data envelopment analysis.;

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