| Article ID: | iaor20002586 |
| Country: | South Korea |
| Volume: | 24 |
| Issue: | 4 |
| Start Page Number: | 1 |
| End Page Number: | 12 |
| Publication Date: | Dec 1999 |
| Journal: | Journal of the Korean ORMS Society |
| Authors: | Yoo Seuck-Cheun, Rhim Hosun, Kim Youn-Sung |
| Keywords: | statistics: data envelopment analysis, analytic hierarchy process |
This paper presents a DEA–AHP hybrid model to evaluate and select R&D projects. AHP collects and processes information on the weights of evaluation criteria. The processed information is used as an input for DEA/AR model. Only desirable number of projects are selected by the hybrid model. The model is examined by an example generated from a real data set.