Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks-Reference-Cited by-同舟云学术

Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks

Published:2010-10 Issue:2 Volume:206 Page:479-487
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Samoilenko Sergey,Osei-Bryson Kweku-Muata

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference96 articles.

1. On comparing the performance of primary care providers;Amado;European Journal of Operational Research,2008

2. Efficiency in the Italian banking industry: Data envelopment analysis and neural networks;Angelidis;International Research Journal of Finance and Economics,2006

3. Convergence and productive efficiency in fourteen OECD countries: A non-parametric frontier approach;Arcelus;International Journal of Production Economics,2000

4. Productivity differences across OECD countries in the presence of environmental constraints;Arcelus;Journal of the Operational Research Society,2005

5. Measuring overall efficiency and effectiveness using DEA;Asmild;European Journal of Operational Research,2007

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