Stochastic L-norm model for ranking extreme efficiernt DMUs in stochastic DEA

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

کلیدواژه های Stochastic L-norm model for ranking extreme efficiernt DMUs in stochastic DEA:

Ranking ، Stochastic DEA ، L-norm