Performance Measurement: Machine Learning as a Complement to DEA for Continuous Efficiency Estimation
Data Envelopment Analysis (DEA) is a well-established non-parametric technique for performance measurement to assess the efficiency of Decision-Making Units (DMUs). However, its inability to predict the efficiency values of new DMUs without re-conducting the analysis on the entire dataset has led to...
| Published in: | Malaysian Journal of Fundamental and Applied Sciences |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191798907&doi=10.11113%2fmjfas.v20n2.3310&partnerID=40&md5=9bcc4c803e975bad93d5d98ef9707cf6 |