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Issue No:9 Vol.4 |
September-2011 |
ISSN: 0974-5645 |
| RESEARCH ARTICLES |
Viewers & PDF |
| 12. Behnam Barzegar and Reza Shahverdi. Evaluation of benchmark information with Least-distance measurement model for non-convex frontiers and Petri Net.Indian J.Sci.Technol. Vol.4, Issue 9, pp: 1081-1086. |

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- Abstract
Data Envelopment Analysis (DEA) is efficient analysis for similar decision making units (DMUs). It provides a ranking of DMUs relative to each other. DAE in addition to determining efficiency level, provides situations for removing inefficiency by using evaluated benchmark information. The Least-Distance Measurement model is proposed in order to shifting inefficiency to the nearest efficient unit which may not applied ; thus, expanding DEA to non-convexity technology would be improved the potential of applying the Least-Distance Measurement model. This paper proposes extension in non-convexity technology andwe will explore Petri Nets for modeling a least-distance measurement in non-convex space.
- Keywords: Data Envelopment Analysis; Least distance; FDH; Benchmarking.
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