fuzzy dea efficient 模糊dea有效
dea efficient frontier dea相对有效面
weak dea efficient 弱dea有效
DEA efficient DMUs DEA有效单元
strong dea-efficient 强dea有效
DEA Extremely Efficient DEA扩展有效
super efficient dea 超效率dea
In this method to tell whether one DMU is DEA efficient or not is based on the frontier of real sample points, so it is called Data Envelopment Analysis.
由于该方法中判断某个决策单元是否DEA有效，是以各实际样本点的外包络面为基础的，因此称为数据包络分析。
Based on this, all the DMUs are classified into three types, which are interval DEA efficient, interval DEA partly efficient and interval DEA unefficient.
然后按区间效率值将所有决策单元分为三类，即区间DEA有效、区间DEA部分有效和区间DEA无效。
The sample DEA has an active function on giving an order of units, risk evaluation, analyzing of DEA efficient units and forecasting the combination efficiency of some units.
基于样本的DEA方法在择优排序，风险评估，分析有效单元性质，预测组合有效性等方面具有积极的作用。
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