An improvement on the efficiency bounds and efficiency classifications in DEA with imprecise data
Recently, Park [1] proposed a mathematical Data Envelopment Analysis (DEA) model to estimate the lower bound of efficiency scores in the presence of imprecise data. The current paper shows that its model uses infeasible precise data instead of ordinal data. In addition, in some cases, we may be unab...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
REA Press
2024-12-01
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| Series: | Big Data and Computing Visions |
| Subjects: | |
| Online Access: | https://www.bidacv.com/article_208946_5a09b3e5403999736091e19addf5c61e.pdf |
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