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Context-Dependent Data Envelopment Analysis-Measuring Attractiveness and Progress with Interval Data
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F. Hosseinzadeh Lotfi   , N. Ebrahimkhany Ghazy , S. Ebrahimkhany Ghazy , M. Ahadzadeh Namin |
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Abstract: (9103 Views) |
| Data envelopment analysis (DEA) is a method for recognizing the efficient frontier of
decision making units (DMUs).This paper presents a Context-dependent DEA which uses the interval
inputs and outputs. Context-dependent approach with interval inputs and outputs can consider a set of
DMUs against the special context. Each context shows an efficient frontier including DMUs in
particular levels. The Context-dependent DEA with interval inputs and outputs can measure (i) the
attractiveness when DMUs showing weaker performance are selected as an appraisal context, and (ii)
the interval progress when DMUs showing better performance are selected as the appraisal context.
Keywords: Interval Inputs and Outputs, Context-Dependent Data Envelopment Analysis,
Attractiveness, Progress, Value Judgment. |
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Full-Text [PDF 261 kb]
(3221 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2011/12/6 | Published: 2011/12/15
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