Fuzzy context-dependent data envelopment analysis

Meiqiang Wang and Liang Liang

International Journal of Data Analysis Techniques and Strategies, 2009, vol. 1, issue 3, 211-223

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.

Keywords: fuzzy DEA; context-dependent DEA; data envelopment analysis. (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:1:y:2009:i:3:p:211-223

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