PCA-DEA-Reference-Cited by-同舟云学术

PCA-DEA

Published: Issue: Volume: Page:139-153
ISSN:
Container-title:Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
language:
Short-container-title:

Author:

Adler Nicole,Golany Boaz

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-71607-7_8.pdf

Reference18 articles.

1. Adler N and Golany B (2001). Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe. European J Opl Res 132: 18–31.

2. Adler N and Golany B (2002). Including Principal Component Weights to improve discrimination in Data Envelopment Analysis, J Opl Res, 53 (9), pp. 985–991.

3. Adler N and Yazhemsky E (2005). Improving discrimination in DEA: PCA-DEA versus variable reduction. Which method at what cost? Working Paper, Hebrew University Business School.

4. Banker RD, Charnes A and Cooper WW (1984). Models for estimating technical and returns-to-scale efficiencies in DEA. Management Sci 30: 1078–1092.

5. Charnes A, Cooper WW and Rhodes E (1978). Measuring the efficiency of decision making units. European J Opl Res 2: 429-444.

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy clustering in high-dimensional spaces: Visualization and performance metrics;International Journal of Knowledge-based and Intelligent Engineering Systems;2024-05-28

2. The Efficiency of the Performing Arts: Evidence from Data Envelopment Analysis for Russian Theaters;The Journal of Arts Management, Law, and Society;2023-09-03

3. A novel algorithm for complete ranking of DMUs dealing with negative data using Data Envelopment Analysis and Principal Component Analysis: Pharmaceutical companies and another practical example;PLOS ONE;2023-09-01

4. An integrated approach for the merger of small and medium-sized industrial units;RAIRO - Operations Research;2023-03

5. Well-being in OECD countries: an assessment of technical and social efficiency using data envelopment analysis;International Review of Economics;2023-02-07