度量(数据仓库)
数据包络分析
计算机科学
常量(计算机编程)
网络模型
比例(比率)
运筹学
数学优化
数学
数据挖掘
量子力学
物理
程序设计语言
作者
Weiwei Zhu,Ziyang Miao,Xujin Pu
标识
DOI:10.1080/01605682.2020.1755899
摘要
In conventional two-stage network data envelopment analysis (DEA) models involving one single intermediate output, the divisional efficiencies of non-cooperative models and centralized models are equivalent to the standard constant return to scale (CRS) efficiencies of each stage. The current study demonstrates that the above result also holds true for general network structures, including those of more than two stages, with only one intermediate measure linking network components.
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