TY - JOUR A2 - Mirzazadeh, Mohammad AU - Jiang, Bao AU - Feng, Shuang AU - Gao, Jinwu AU - Li, Jian PY - 2021 DA - 2021/02/08 TI - Uncertain Random Data Envelopment Analysis: Efficiency Estimation of Returns to Scale SP - 6630317 VL - 2021 AB - Evaluating efficiency according to the different states of returns to scale (RTS) is crucial to resource allocation and scientific decision for decision-making units (DMUs), but this kind of evaluation will become very difficult when the DMUs are in an uncertain random environment.本文中,我们试图探索不确定随机数据包分析方法,解决DMU输入输出不确定随机变量问题概率论用于处理不确定随机变量,并因此分别建议两个评价模型,一个用于提高回归规模(IRS),另一个用于递减回归规模(DRS)。并同时将两个不确定随机模型转换成对应等式, 我们还提供数值示例说明这些模型的评价结果SN-1687-9120UR-https://doi.org/101155/20216630317DO-10.1155/20216630317JF-数学物理PB-HindawiKW-ER-