شماره ركورد كنفرانس :
4122
عنوان مقاله :
Stochastic L-norm model for ranking extreme efficiernt DMUs in stochastic DEA
پديدآورندگان :
shamsi Razieh Minab Branch, Islamic Azad University, Minab, Iran , Haghshenas Fatemeh Department of Mathematics, Payame Noor University, I.R. of IRAN
كليدواژه :
Ranking , Stochastic DEA , L , norm
عنوان كنفرانس :
دومين كنفرانس بين المللي مديريت، كارآفريني و توسعه اقتصادي
چكيده فارسي :
We develop -norm model (That is always feasible and bounded) for ranking extreme efficient decision making units (DMUs) in stochastic data envelopment analysis (DEA), and also, we present a deterministic equivalent of stochastic model. It is shown that this deterministic model can be convert to a quadratic program
