Specification of a performance indicator using the evidential-reasoning approach
文献类型:期刊论文
作者 | Cao, Jian1,2; Chen, Guanghua3; Khoveyni, Mohammad4; Eslami, Robabeh5; Yang, Guoliang6 |
刊名 | KNOWLEDGE-BASED SYSTEMS
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出版日期 | 2016-01-15 |
卷号 | 92期号:0页码:138-150 |
关键词 | Data envelopment analysis Efficient frontier Anti-efficient frontier The evidential-reasoning approach |
ISSN号 | 0950-7051 |
英文摘要 | There are three primary encountered problems in classic data envelopment analysis (DEA), which they decrease the effectiveness and reliability of decision making based on the obtained information from the classic DEA. These three problems include the following issues: (1) DEA efficiency scores overestimate efficiency and they are biased; (2) In certain cases, the standard DEA models are not as useful as expected in the sense of discriminating the decision making units (DMUs); (3) Specification of the evaluated DMUs as efficient by using DEA are peculiar rather than superiority. Tackling these mentioned problems is the motivation for creating this current study. To overcome these three problems in DEA together and enhance the effectiveness and reliability of the decision-making process, this paper uses the evidential-reasoning (ER) approach to construct a performance indicator for combining the efficiency and anti-efficiency obtained by DEA and inverted DEA models, which they are used to identify the efficient and anti-efficient frontiers, respectively. Numerical simulation tests indicate that our new performance indicator is more suitable for the cases where there are relatively few DMUs to be evaluated with respect to the number of input and output indicators. Furthermore, empirical studies demonstrate that this indicator has considerably more discrimination power than that of the standard DEA models, and also it reduces overestimation and addresses peculiar DMUs, properly. (C) 2015 Elsevier B.V. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | DATA ENVELOPMENT ANALYSIS ; NONPARAMETRIC FRONTIER MODELS ; CROSS-EFFICIENCY EVALUATION ; SUPER-EFFICIENCY ; DECISION-MAKING ; DEA MODELS ; UNCERTAINTY ; UNITS ; DISCRIMINATION ; RESTRICTIONS |
收录类别 | SCI ; SSCI |
语种 | 英语 |
WOS记录号 | WOS:000368745700013 |
源URL | [http://ir.psych.ac.cn/handle/311026/19563] ![]() |
专题 | 心理研究所_社会与工程心理学研究室 |
作者单位 | 1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Humanities & Social Sci, Beijing 100039, Peoples R China 3.Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China 4.Islamic Azad Univ, Coll Basic Sci, Dept Appl Math, Yadegar E Imam Khomeini RAH Shahr E Rey Branch, Tehran, Iran 5.Islamic Azad Univ, South Tehran Branch, Fac Engn & Technol, Dept Math, Tehran, Iran 6.Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Jian,Chen, Guanghua,Khoveyni, Mohammad,et al. Specification of a performance indicator using the evidential-reasoning approach[J]. KNOWLEDGE-BASED SYSTEMS,2016,92(0):138-150. |
APA | Cao, Jian,Chen, Guanghua,Khoveyni, Mohammad,Eslami, Robabeh,&Yang, Guoliang.(2016).Specification of a performance indicator using the evidential-reasoning approach.KNOWLEDGE-BASED SYSTEMS,92(0),138-150. |
MLA | Cao, Jian,et al."Specification of a performance indicator using the evidential-reasoning approach".KNOWLEDGE-BASED SYSTEMS 92.0(2016):138-150. |
入库方式: OAI收割
来源:心理研究所
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