Volume 7 Number 11 (Nov. 2012)
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JCP 2012 Vol.7(11): 2836-2841 ISSN: 1796-203X
doi: 10.4304/jcp.7.11.2836-2841

A Hybrid Optimization Algorithm to Evaluate the CCWPE Based on DEA Sampled by FCE

Zhibin Liu1, Chunyu Gao2
1Department of Economics and Management, North China Electric Power University, Baoding City, China
2Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing City, China


Abstract—Along with the reform in electric power market and the establishment of bidding for access mechanism, the competition among the power generation enterprises is more intense. As a kind of renewable clean energy, wind power has the disadvantages of no pollution, low cost, but the wind power also has the inherent shortcoming of intermittence, random and instability. To evaluate the core competitiveness of wind power enterprises (CCWPE), the authors overcame the shortcoming of the traditional methods, and proposed a hybrid optimization method which unified the fuzzy comprehensive evaluation (FCE) and data envelopment analysis (DEA) model, which took FCE as the foundation to sample, and used DEA theory to establish the CCWPE evaluating model. The model could not only play the advantages of DEA, but overcome the problem of seeking training sample with high quality. The CCWPE evaluation of 4 wind power generation enterprises indicated that the method was efficient and reliable.

Index Terms—Data envelopment analysis, fuzzy comprehensive evaluation, core competitiveness, wind power generation enterprises.

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Cite: Zhibin Liu, Chunyu Gao, "A Hybrid Optimization Algorithm to Evaluate the CCWPE Based on DEA Sampled by FCE," Journal of Computers vol. 7, no. 11, pp. 2836-2841, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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