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

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Book cover Emerging Computation and Information teChnologies for Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 146))

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Abstract

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.

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Author information

Authors and Affiliations

  1. College of Information & Management Science, Henan Agricultural University, Zhengzhou, 450002, P.R. China

    Jian Wen, Lijuan Lei & Yawei Wang

Authors
  1. Jian Wen
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  2. Lijuan Lei
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  3. Yawei Wang
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Editor information

Editors and Affiliations

  1. , School of Com. and Inf. Eng., Zhejiang Gongshang University, Hangzhou, 310018, China, People's Republic

    Elwin Mao

  2. , School of Computer Science & Technology, University of Science & Technology of Ch, Jinzhai Road NO. 96, Hefei, 230027, Anhui, China, People's Republic

    Linli Xu

  3. , Information Technology Department, Zhejiang Economic & Trade Polytechnic, Xuelin Street 280, Hangzhou, 310018, China, People's Republic

    Wenya Tian

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wen, J., Lei, L., Wang, Y. (2012). The Integrated Model Based on Rough Set and DEA for the Innovation Performance of the High-Tech Industry in Henan Province. In: Mao, E., Xu, L., Tian, W. (eds) Emerging Computation and Information teChnologies for Education. Advances in Intelligent and Soft Computing, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28466-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-28466-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28465-6

  • Online ISBN: 978-3-642-28466-3

  • eBook Packages: EngineeringEngineering (R0)

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