Uncertain DEA-Malmquist productivity index model and its application

被引：4

作者：

Wu, Jiali ^{[1
]}

Sheng, Yuhong ^{[1
]}

机构：

[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2023年 / 44卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Uncertainty theory; uncertain DEA model; malmquist productivity index; decision making unit; EFFICIENCY;

D O I：

10.3233/JIFS-222109

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Uncertain data envelopment analysis (DEA) model make an estimate of the efficiency of decision making unit (DMU) under data uncertainty. The current research on uncertain DEA model is only based on sectional data to calculate DMU's static efficiency for theDMU's set in the same period. From this article, we attempt to combine Malmquist productivity index and uncertain DEA model (the uncertain DEA-Malmquist productivity index model) to calculate the dynamic change of DMU's efficiency over time. Additionally, the impact of technical factors and scale factors on DMU's efficiency can be further explored and the Malmquist productivity index will be decomposed into pure technical efficiency change, scale efficiency change and technical change. Finally, the article uses the model to analyze the provincial environmental efficiency from 2014 to 2016 in China.

引用

页码：5295 / 5308

页数：14

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