The Integrated Model Based on Rough Set and DEA for the Innovation Performance of the High-Tech Industry in Henan Province

  • Jian Wen
  • Lijuan Lei
  • Yawei Wang
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)


By using the method of rough set, we discretized the performance index of technological innovation of the High-Tech industry in Henan province, designed decision-making table and established the method of heuristic attribute reduction, so the performance index system was optimized. Afterwards, the innovation performance of the High-Tech industry was analyzed from 1995 to 2009 based on the DEA (BCC) model. The results show that the efficiency of input-output continues to increase, but there are some fluctuations, the management information of adjusting input-output is brought forward.


High-Tech Industry Technological Innovation Rough Set BCC 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Shi, C., Li, S.: Performance decision-making of oil supply chain enterprise based on heuristic reduction and DEA. Computer Engineering and Applications 44(31), 211–214 (2008)Google Scholar
  2. 2.
    Wei, Q.: Data Envelopment Analysis. Science Press, Beijing (2004)Google Scholar
  3. 3.
    Cooper, W.W., Seiford, L.M., Tone, K.: Data Envelopment Analysis–A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd edn. Springer Science Business Media, LLC (2007)Google Scholar
  4. 4.
    Cook, W.D., Seiford, L.M.: Data envelopment analysis (DEA)-Thirty years on. European Journal of Operational Research 192, 1–17 (2009)MathSciNetMATHCrossRefGoogle Scholar
  5. 5.
    Li, L., Zhou, C.: High-tech enterprise knowledge management performance evaluation. The Study of Productivity 1, 164–166 (2005)Google Scholar
  6. 6.
    Wang, E.C., Huang, W.C.: Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach. Research Policy 36(2), 260–273 (2007)CrossRefGoogle Scholar
  7. 7.
    Li, X.: China’s regional innovation capacity in transition: An empirical approach. Research Policy 38(2), 338–357 (2009)CrossRefGoogle Scholar
  8. 8.
    Wen, J., Lei, L., Tian, Z.: Evaluation on Independent Innovation Ability of High-Tech Industry Based on Rough Set and Projection. Pursuit Model Key Engineering Material 480, 821–826 (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Jian Wen
    • 1
  • Lijuan Lei
    • 1
  • Yawei Wang
    • 1
  1. 1.College of Information & Management ScienceHenan Agricultural UniversityZhengzhouP.R. China

Personalised recommendations