Selecting the high - performing departments within universities applying the fuzzy MADM methods
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Date
2011
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Abstract
In this study, the process of efficiency measurement is tackled using multi-attribute decision-making (MADM) processes where a sequential algorithm is proposed. The framework of the study is based on two main stages; first, the data envelopment analysis (DEA), separately formulating each pair of units, formulates the department evaluation problem. DEA is a nonparametric multiple criteria method; no production, cost, or profit function is estimated from the data. In the second stage, the pair-wise evaluation matrix generated in the first stage is utilized to fully rank-scale the units via the fuzzy analytical hierarchical process (FAHP). The FAHP method adopted here uses triangular fuzzy numbers (TFN). Inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process has been improved in Fuzzy AHP. Instead of a crisp value, Fuzzy AHP a range of value to incorporate the decision maker's uncertainly. ©2011 Academic Journals.
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Keywords
Data envelopment analysis (DEA), Fully-rank, Fuzzy analytical hierarchy process (FAHP), Multi criteria decision-making (MCDM), Multi-attribute decision-making (MADM), Triangular fuzzy numbers (TFN)
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Citation
8
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N/A
Source
Scientific Research and Essays
Volume
6
Issue
13
Start Page
2646
End Page
2654