A closer look at the use of data envelopment analysis for technology selection
Computers and Industrial Engineering
Data Envelopment Analysis: Theory, Methodology and Application
Data Envelopment Analysis: Theory, Methodology and Application
An Assurance Interval for the Non-Archimedean Epsilon in DEA Models
Operations Research
An integrated AHP-DEA methodology for bridge risk assessment
Computers and Industrial Engineering
A neutral DEA model for cross-efficiency evaluation and its extension
Expert Systems with Applications: An International Journal
Application of centralised DEA approach to capital budgeting in Spanish ports
Computers and Industrial Engineering
Cross-efficiency evaluation based on ideal and anti-ideal decision making units
Expert Systems with Applications: An International Journal
Weight determination in the cross-efficiency evaluation
Computers and Industrial Engineering
Minimax and maximin formulations of cross-efficiency in DEA
Computers and Industrial Engineering
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In this paper, the cross efficiency evaluation method, regarded as a DEA extension tool, is firstly reviewed for its utilization in identifying the Decision Making Unit (DMU) with the best practice and ranking the DMUs by their respective cross-efficiency scores. However, we then point out that the main drawback of the method lies in non-uniqueness of cross-efficiency scores resulted from the presence of alternate optima in traditional DEA models, obviously making it become less effective. Aiming at the research gap, a weight-balanced DEA model is proposed to lessen large differences in weighted data (weighted inputs and weighted outputs) and to effectively reduce the number of zero weights for inputs and outputs. Finally, we use two examples of the literature to illustrate the performance of this approach and discuss some issues of interest regarding the choosing of weights in cross-efficiency evaluations.