Improving Discrimination Power in Data Envelopment Analysis Using Deviation Variables
Data Envelopment Analysis (DEA) has been proposed as a performance evaluative technique to measure the relative efficiency of decision-making units (DMUs) based on their respective multiple inputs and outputs. Lack of great discrimination power and poor weight dispersion has remained as the major is...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
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University of Tehran
2017-12-01
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| Series: | مدیریت صنعتی |
| Subjects: | |
| Online Access: | https://imj.ut.ac.ir/article_66394_48232ee921b8d609092b1442a2ca377b.pdf |