multi-variable output model 多变量产出模型
Then a C2R Data Envelopment Analysis (DEA) decision model with multi-input and output was built to assess whether technique and scale were simultaneously efficient.
在此基础上，建立了基于技术与规模同时有效的多投入多产出的C2R数据包络分析决策模型。
A novel internal model control structure with multiple output error feedbacks is proposed in this paper, by means of multi model decomposition technique.
通过对受控对象模型的并行结构分解，引入多重输出误差反馈，构成了一种新的内模控制结构。
As a result, the method can be used to analyze the devotion and output with multi-input and single output, and can get a reasonable estimate result by transformed sample set using DEA model.
结果表明，此方法可用于多输入、单输出的投入产出分析，对变换后的样本集使用DEA模型可得到一个单元的合理评价结果。
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