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Extended Utility and DEA Models without Explicit Input

Yang, Guoliang, Shen, Wanfang, Zhang, Daqun, Liu, Wenbin (2014) Extended Utility and DEA Models without Explicit Input. Journal of the Operational Research Society, 65 (8). pp. 1212-1220. ISSN 0160-5682. E-ISSN 1476-9360. (doi:10.1057/jors.2013.68) (KAR id:34489)

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https://dx.doi.org/10.1057/jors.2013.68

Abstract

In this paper, we discuss the relationship between multi-attribute utility theory and data envelopment analysis (DEA) models without explicit inputs (DEA-WEI), including dual models and some theoretical analysis of DEA-WEI models. We then propose generic DEA-WEI models with quadratic utility terms. Finally, we provide illustrative examples to show that DEA-WEI with suitable quadratic utility terms are able to reflect some value judgments that the standard DEA models cannot.

Item Type: Article
DOI/Identification number: 10.1057/jors.2013.68
Uncontrolled keywords: DEA; DEA without explicit input; value judgment; multiple attribute utility
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Catherine Norman
Date Deposited: 02 Jul 2013 10:09 UTC
Last Modified: 06 May 2020 03:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/34489 (The current URI for this page, for reference purposes)
Liu, Wenbin: https://orcid.org/0000-0001-5966-6235
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