Fuzzy context-dependent data envelopment analysis. (16th April 2009)

• Record Type: Journal Article
• Authors: Wang, Meiqiang; Liang, Liang
• Is Part Of: International journal of data analysis techniques and strategies. Volume 1:Number 3(2009)
• Page Start: 211
• Page End: 223
• Publication Date: 2009-04-16
• Subjects: fuzzy DEA -- context-dependent DEA -- data envelopment analysis; Electronic data processing -- Periodicals; Database searching -- Periodicals; 005
• Languages: English
• ISSNs: 1755-8050

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.