NETWORK DATA ENVELOPMENT ANALYSIS WITH FUZZY NON-DISCRETIONARY FACTORS

被引：2

作者：

Hu, Cheng-Kai ^{[1
]}

Liu, Fung-Bao ^{[2
]}

Chen, Hong-Ming ^{[3
]}

Hu, Cheng-Feng ^{[4
]}

机构：

[1] Kao Yuan Univ, Dept Int Business, Kaohsiung 82151, Taiwan

[2] I Shou Univ, Dept Mech & Automat Engn, Kaohsiung 84001, Taiwan

[3] Tunghai Univ, Dept Appl Math, Taichung 40704, Taiwan

[4] Natl Chiayi Univ, Dept Appl Math, Chiayi 60004, Taiwan

来源：

JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION | 2021年 / 17卷 / 04期

关键词：

Network DEA; non-discretionary; fuzzy decision making;

D O I：

10.3934/jimo.2020046

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Network data envelopment analysis (DEA) concerns using the DEA technique to measure the relative efficiency of a system, taking into account its internal structure. The results are more meaningful and informative than those obtained from the conventional DEA models. This work proposed a new network DEA model based on the fuzzy concept even though the inputs and outputs data are crisp numbers. The model is then extended to investigate the network DEA with fuzzy non-discretionary variables. An illustrative application assessing the impact of information technology (IT) on firm performance is included. The results reveal that modeling the IT budget as a fuzzy non-discretionary factor improves the system performance of firms in a banking industry.

引用

页码：1795 / 1807

页数：13

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