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Abstract
Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed
Keywords
DEA

Citation

Please use this url to cite or link to this publication:

MLA
Shen, Yongjun et al. “A Generalized Multiple Layer Data Envelopment Analysis Model.” World Scientific Proceedings Series on Computer Engineering and Information Science. Ed. Koen Vanhoof et al. Vol. 2. Athens, Greece: World Scientific and Engineering Academy and Society, 2010. 215–220. Print.
APA
Shen, Yongjun, Hermans, E., Ruan, D., Wets, G., Vanhoof, K., & Brijs, T. (2010). A generalized multiple layer data envelopment analysis model. In K. Vanhoof, D. Ruan, T. Li, & G. Wets (Eds.), World Scientific Proceedings Series on Computer Engineering and Information Science (Vol. 2, pp. 215–220). Presented at the 4th International conference on Intelligent Systems and Knowledge Engineering (ISKE 2009), Athens, Greece: World Scientific and Engineering Academy and Society.
Chicago author-date
Shen, Yongjun, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, and Tom Brijs. 2010. “A Generalized Multiple Layer Data Envelopment Analysis Model.” In World Scientific Proceedings Series on Computer Engineering and Information Science, ed. Koen Vanhoof, Da Ruan, Tianrui Li, and Geert Wets, 2:215–220. Athens, Greece: World Scientific and Engineering Academy and Society.
Chicago author-date (all authors)
Shen, Yongjun, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, and Tom Brijs. 2010. “A Generalized Multiple Layer Data Envelopment Analysis Model.” In World Scientific Proceedings Series on Computer Engineering and Information Science, ed. Koen Vanhoof, Da Ruan, Tianrui Li, and Geert Wets, 2:215–220. Athens, Greece: World Scientific and Engineering Academy and Society.
Vancouver
1.
Shen Y, Hermans E, Ruan D, Wets G, Vanhoof K, Brijs T. A generalized multiple layer data envelopment analysis model. In: Vanhoof K, Ruan D, Li T, Wets G, editors. World Scientific Proceedings Series on Computer Engineering and Information Science. Athens, Greece: World Scientific and Engineering Academy and Society; 2010. p. 215–20.
IEEE
[1]
Y. Shen, E. Hermans, D. Ruan, G. Wets, K. Vanhoof, and T. Brijs, “A generalized multiple layer data envelopment analysis model,” in World Scientific Proceedings Series on Computer Engineering and Information Science, Hasselt, Belgium, 2010, vol. 2, pp. 215–220.
@inproceedings{2918742,
  abstract     = {{Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed}},
  author       = {{Shen, Yongjun and Hermans, Elke and Ruan, Da and Wets, Geert and Vanhoof, Koen and Brijs, Tom}},
  booktitle    = {{World Scientific Proceedings Series on Computer Engineering and Information Science}},
  editor       = {{Vanhoof, Koen and Ruan, Da and Li, Tianrui and Wets, Geert}},
  isbn         = {{9789814295055}},
  keywords     = {{DEA}},
  language     = {{eng}},
  location     = {{Hasselt, Belgium}},
  pages        = {{215--220}},
  publisher    = {{World Scientific and Engineering Academy and Society}},
  title        = {{A generalized multiple layer data envelopment analysis model}},
  url          = {{http://dx.doi.org/10.1142/9789814295062_0034}},
  volume       = {{2}},
  year         = {{2010}},
}

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