DEA cross-efficiency evaluation and ranking method based on interval data

Yu Yu, Weiwei Zhu () and Qian Zhang
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Yu Yu: Nanjing Audit University
Weiwei Zhu: Nanjing University of Posts and Telecommunications
Qian Zhang: Worcester Polytechnic Institute

Annals of Operations Research, 2019, vol. 278, issue 1, No 9, 159-175

Abstract: Abstract Data envelopment analysis (DEA) is an important method of efficiency evaluation. Cross-efficiency evaluation is one of the main aspects of research in the field of DEA that has been applied in various fields. In the traditional cross-efficiency evaluation model, the variable data of decision-making units is exact. Dynamic information is frequently unable to reflect the whole characteristic when determining the exact data. In this study, we select interval data to represent the dynamic information of some variables in the evaluation process. We then build a solution method based on interval efficiency and DEA cross-efficiency. This method retains the reflection of interval data on uncertain variable properties. Finally, the stochastic multi-criteria acceptability analysis 2 (SMAA2) is introduced to solve the whole sequence problem of interval efficiency. We present a case study from a set of 19 reservoir dams suffered from Wenchuan earthquake in Luojiang County, Sichuan Province to demonstrate the applicability of the proposed model.

Keywords: Data envelopment analysis; Interval data; Cross-efficiency; SMAA2 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10479-017-2669-y

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