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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Detalles Bibliográficos
Autores principales: Kheirollahi, Hooshang, Matin, Behzad Karami, Mahboubi, Mohammad, Alavijeh, Mehdi Mirzaei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Canadian Center of Science and Education 2015
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802113/
https://www.ncbi.nlm.nih.gov/pubmed/25946925
http://dx.doi.org/10.5539/gjhs.v7n4p151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802113/
https://www.ncbi.nlm.nih.gov/pubmed/25946925
http://dx.doi.org/10.5539/gjhs.v7n4p151

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