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Chance Constrained Input Relaxation to Congestion in Stochastic DEA. An Application to Iranian Hospitals
This article developed an approached model of congestion, based on relaxed combination of inputs, in stochastic data envelopment analysis (SDEA) with chance constrained programming approaches. Classic data envelopment analysis models with deterministic data have been used by many authors to identify...
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| Veröffentlicht in: | Glob J Health Sci |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Canadian Center of Science and Education
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4802113/ https://ncbi.nlm.nih.gov/pubmed/25946925 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5539/gjhs.v7n4p151 |
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