A DEA – ANP hybrid Algorithm Approach to Evaluate a University ‟ s Performance
نویسنده
چکیده
Proposed in this study is a hybrid model for supporting the performance of a department within Amir Kabir University in Iran. The proposal is a two-stage model designed to fully rank the organizational departments where each faculty has multiple inputs and outputs. First, the Data Envelopment Analysis (DEA) separately formulates each pair of units. In the second stage, the pair-wise evaluation matrix generated in the first stage is utilized to fully rank the units via the Analytical Network Process (ANP). Both the DEA and the ANP have limitations. Nevertheless, one hybrid model combines the best techniques of the two models. The DEA-ANP hybrid algorithm ranking does not replace the DEA classification model; rather, it extends the analysis by providing full ranking in the DEA context for all departments, whether they are efficient or
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