DEA and Machine Learning for Performance Prediction

DEA and Machine Learning for Performance Prediction

Data envelopment analysis (DEA) has been widely applied to evaluate the performance of banks, enterprises, governments, research institutions, hospitals, and other fields as a non-parametric estimation method for evaluating the relative effectiveness of research objects. However, the composition of...

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Bibliographic Details
Main Authors: Zhishuo Zhang, Yao Xiao, Huayong Niu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematics
Subjects:
data envelopment analysis
machine learning
integrated models
performance prediction
Online Access:https://www.mdpi.com/2227-7390/10/10/1776

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