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Specification of a performance indicator using the evidential-reasoning approach
Cao, Jian1,2; Chen, Guanghua3; Khoveyni, Mohammad4; Eslami, Robabeh5; Yang, Guoliang6
2016-01-15
Source PublicationKNOWLEDGE-BASED SYSTEMS
ISSN0950-7051
SubtypeArticle
Volume92Issue:0Pages:138-150
AbstractThere 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.
KeywordData envelopment analysis Efficient frontier Anti-efficient frontier The evidential-reasoning approach
DOI10.1016/j.knosys.2015.10.023
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(71201158 ; National Soft Science Research Program(2014GXQ4B168) ; 71371067)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000368745700013
WOS HeadingsScience & Technology ; Technology
WOS KeywordDATA ENVELOPMENT ANALYSIS ; NONPARAMETRIC FRONTIER MODELS ; CROSS-EFFICIENCY EVALUATION ; SUPER-EFFICIENCY ; DECISION-MAKING ; DEA MODELS ; UNCERTAINTY ; UNITS ; DISCRIMINATION ; RESTRICTIONS
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Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/19563
Collection社会与工程心理学研究室
Affiliation1.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
Recommended Citation
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.
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