• DocumentCode
    3122066
  • Title

    Multi-layer fuzzy dea evaluation method for technology innovation support system of SME

  • Author

    Xiao-Zheng Yang ; Na Xu ; Hong-Qi Hui

  • Author_Institution
    Sch. of Econ. & Manage., Heibei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    03
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    1346
  • Lastpage
    1351
  • Abstract
    Technology innovation of SME is largely dependent on the performance of local government support system. On the basis of the existing literature, a multi-layer evaluation index system for SME technology innovation support system is built based on four aspects - legal environment, financing environment, technology environment and socio-cultural environment. tages. According to the characteristics of the evaluation index, the DEA evaluation method and fuzzy evaluation method are mixed and multi-layer fuzzy DEA evaluation method is proposed to realize the efficiency evaluation for technology innovation support system of SME. Finally, application of this method is described by an empirical analysis of 11 prefecture-level cities in Hebei Province, China.
  • Keywords
    cultural aspects; data envelopment analysis; finance; fuzzy set theory; innovation management; law; local government; small-to-medium enterprises; China; Hebei Province; SME technology innovation support system; financing environment; legal environment; local government support system; multilayer evaluation index system; multilayer fuzzy DEA evaluation method; prefecture-level cities; sociocultural environment; technology environment; Abstracts; Cities and towns; High definition video; Indexes; Technological innovation; AHP; DEA; Fuzzy evaluation; SME; Support system of technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890795
  • Filename
    6890795