无显性投入不确定DEA模型及应用

doi:10.3969/j.issn.1000-1565.2022.03.002

河北大学学报(自然科学版) ›› 2022, Vol. 42 ›› Issue (3): 232-240.DOI: 10.3969/j.issn.1000-1565.2022.03.002

无显性投入不确定DEA模型及应用

纪爱兵¹,庞佳宏²

收稿日期:2021-11-23 出版日期:2022-05-25 发布日期:2022-06-16
通讯作者: 庞佳宏(1964—)
作者简介:纪爱兵(1965—),男,河北安平人,河北大学教授,博士生导师,主要从事机器学习的数学基础、不确定预测决策方法、面板数据分析等方向研究.E-mail:jabpjh@163.com
基金资助:
河北省社会科学基金资助项目(HB18GL014)

Fuzzy data envelopment analysis without explicit inputs and its applications

JI Aibing¹, PANG Jiahong²

1.College of Mathematics and Information Science, Hebei University, Baoding 071002, China; 2.School of Basic Medical Science, Hebei University, Baoding 071000, China

Received:2021-11-23 Online:2022-05-25 Published:2022-06-16

摘要/Abstract

摘要： 引入2种新的无显性投入的不确定数据包络分析(data envelopment analysis,DEA)模型,无显性投入的区间值DEA模型(IDEA-WEI)和无显性投入的模糊值DEA模型(FDEA-WEI),并将IDEA-WEI模型应用于一流学科建设绩效评价, FDEA-WEI模型应用于一流学科周期建设绩效评价,实验证明了提出的无显性投入的不确定DEA模型的有效性.

关键词: 绩效评价, 数据包络分析, 无显性投入, 区间值产出, 模糊值产出

Abstract: This paper first introduces two kinds of novel uncertain data envelopment analysis without explicit inputs: interval-valued data envecopment analysis(DEA)model without explicit input(IDEA-WEI)and fuzzy-valued DEA model without explicit input(FDEA-WEI), then IDEA-WEI model is applied to evaluate the performance of first-class discipline construction, FDEA-WEI model is applied to evaluate the performance of periodical construction of first-class disciplines. The practical application verifies the effectiveness of the uncertain DEA model without explicit inputs.

Key words: performance evaluation, data envelopment analysis, without explicit inputs, interval-valued outputs, fuzzy outputs

中图分类号:

G420

纪爱兵,庞佳宏. 无显性投入不确定DEA模型及应用[J]. 河北大学学报(自然科学版), 2022, 42(3): 232-240.

JI Aibing, PANG Jiahong. Fuzzy data envelopment analysis without explicit inputs and its applications[J]. Journal of Hebei University(Natural Science Edition), 2022, 42(3): 232-240.

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无显性投入不确定DEA模型及应用

Fuzzy data envelopment analysis without explicit inputs and its applications

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