A DEA-based approach to ranking multi-criteria alternatives

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2006
Tuncer, Ceren
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This thesis addresses the problem of ranking multi-criteria alternatives. A Data Envelopment Analysis (DEA)-based approach, the Method of the Area of the Efficiency Score Graph (AES) is proposed. Rather than assessing the alternatives with respect to the fixed original alternative set as done in the existing DEA-based ranking methods, AES considers the change in the efficiency scores of the alternatives while reducing the size of the alternative set. Producing a final score for each alternative that accounts for the progress of its efficiency score, AES favors alternatives that manage to improve quickly and maintain high levels of efficiency. The preferences of the Decision Maker (DM) are incorporated into the analysis in the form of weight restrictions. The utilization of the AES scores of the alternatives in an incremental clustering algorithm is also proposed. The AES Method is applied to rank MBA programs worldwide, sorting of the programs is also performed using their AES scores. Results are compared to another DEA-based ranking method.
Industrial Engineering., Management Engineering.
http://etd.lib.metu.edu.tr/upload/12607476/index.pdf
https://hdl.handle.net/11511/16311
Graduate School of Natural and Applied Sciences, Thesis

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A DEA-BASED APPROACH TO RANKING MULTI-CRITERIA ALTERNATIVES
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We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. We call it "the area of the efficiency score graph" (AES) approach. Unlike the classical DEA score and D(k) measure that counts the number of DMUs (alternatives in DEA terminology) that should be removed from the set for each DMU k to become efficient, AES is not fully dependent on relative values of inputs/outputs of the alternatives in the set. It considers the change in efficiency scores of the alternative...
Citation Formats
C. Tuncer, “A DEA-based approach to ranking multi-criteria alternatives,” M.S. - Master of Science, Middle East Technical University, 2006.
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