Research on Improvement of Non-DEA Efficient Units

Jin Ling Sun; Juan Pang; Jun Bian

doi:10.4028/www.scientific.net/AMR.962-965.2831

Paper Titles

The Improved McEliece PKC and its Security Analysis
p.2814

The Prediction of Bus Speed Based on Kalman Filter
p.2818

The Rules of Beijing Metro Passenger Flow Based on AFC Data
p.2823

Oil Analysis Cost-Effective Compressor Condition Computer Monitoring Technique
p.2827

Research on Improvement of Non-DEA Efficient Units
p.2831

A Novel Approach Automatic Detection of Suspicious Behavior
p.2838

An Improved ID3 Decision Tree Algorithm
p.2842

An Object Detection Algorithm Based on Statistical Classification of Video Stream Pixels
p.2848

Application Research of the Pro/3 Inference Information Report and Transformer Fault Diagnosis Based on Forward Reasoning
p.2852

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Research on Improvement of Non-DEA Efficient Units

Research on Improvement of Non-DEA Efficient Units

Abstract:

When dealing with the relationship of inputs and outputs by using DEA model, people often find that part of decision units are non DEA efficient in numerous evaluated decision units. For each decision unit has various internal situations, and the external environment is also relatively complex, the strategy space that managers can take should also be diversified.Therefore,the improving methods must also be diversified. The paper will combine potential problems with the non-DEA efficient decision making units to study several different improving models.Managers can choose different improving methods according to different strategy space to enable the improvement more in line with the actual situation.

You might also be interested in these eBooks

Resources and Sustainable Development III

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

2831-2837

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.2831

Citation:

Cite this paper

Online since:

June 2014

Authors:

Jin Ling Sun, Juan Pang, Jun Bian

Keywords:

Decision-Making Units, Non-DEA Efficient, Production Frontier

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Quanling Wei. Data Envelopment Analysis (DEA) [M](In Chinese). Beijing: Science Press, (2004).

Google Scholar

[2] Fei Xie. The Applications of Data Envelopment Analysis and Principal Component Analysis of the Correlation Research [D](In Chinese). Tianjin: Tianjin University, (2003).

Google Scholar

[3] Chaofeng Huang. Colleges and Universities Teaching Efficiency Evaluation Based On Fuzzy DEA Method and Application Research [D](In Chinese), Changsha: National University of Defense Technology, (2005).

Google Scholar

[4] Wenheng Ding, Yingjun Feng, Yuhong Kang. At The Same Time For Input and Output Oriented A Model of Data Envelopment Analysis (DEA)[J](In Chinese), Quantitative & technical economics, 2001(11).

Google Scholar

[5] Yinsheng Yang, Liying Zhang. The Network Interval DEA Model And Application of Using for Enterprise Interal Performace Evaluation[J](In Chinese), Journal of Social Sciences, Jilin University, 2011(6).

Google Scholar

[6] Song Han. Statistical properties of DEA method And Chance Constrained DEA Model [J](In Chinese). Statistical Research, 2002(6).

Google Scholar

[7] Xiaodong Xu, Chaoyuan Yue. Direction Normal Improve The non-DEA Effective DMU[J](In Chinese). Mathematicsin Practice and Theory, 2005(10).

Google Scholar