A multiple criteria approach to data envelopment analysis
Article Abstract:
A Multiple Criteria Data Envelopment Analysis (MCDEA) model which can be employed to enhance discriminating power of DEA techniques and also provide more reasonable input and output weights without a priori information about the weights is proposed. In the suggested model, several different efficiency measures are defined under the same constraints. Each measure serves as criterion to be optimized. Efficiencies are then assessed under the framework of multiple objective linear programming.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1999
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A data envelopment analysis approach to measure the mutual fund performance
Article Abstract:
An evaluation of mutual fund performance is presented, using a model which applies a methodology of operational research called data envelopment analysis (DEA). This method allows mutual fund performance to be defined by indexes which can consider several inputs.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2001
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A multivariate statistical approach to reducing the number of variables in data envelopment analysis
Article Abstract:
Usage of statistical techniques to determine smallest number of variables to be used during data envelopment analysis is described.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2003
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