• DocumentCode
    496894
  • Title

    Evaluation of Enterprise Innovation Ability Based on Rough Set Theory

  • Author

    Yin, Lei ; Liu, Xiaoxiang ; Jiang, Weigang ; Xie, Jianwen

  • Author_Institution
    Sch. of Mechano-Electron. Eng., Xidian Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-19 July 2009
  • Firstpage
    471
  • Lastpage
    475
  • Abstract
    The creative ability index is quite important for enterprises. This paper proposes an evaluation method for enterprise innovation ability based on rough set theory. Firstly, an index reduction which effects the enterprises based on the rough set theory is carried out, then the major indexes of enterprise development ability is extracted. Secondly, the standardized processing of all kinds of index values based on the membership function makes them have a unified dimension thus possessing comparability. Thirdly, a comprehensive evaluation of enterprise creative ability via the principal component analysis is performed. Finally, we obtain the creative ability level of that enterprise compared with other ones by using its concrete statistical data to prove its effectiveness.
  • Keywords
    economics; innovation management; principal component analysis; rough set theory; concrete statistical data; creative ability index; enterprise development ability; enterprise innovation ability; market economy; membership function; principal component analysis; rough set theory; Computer science; Concrete; Data mining; Educational institutions; Information processing; Knowledge representation; Performance evaluation; Principal component analysis; Set theory; Technological innovation; Creative ability; Membership function; Principal component analysis; Rough set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3699-6
  • Type

    conf

  • DOI
    10.1109/APCIP.2009.122
  • Filename
    5197096