• DocumentCode
    2435409
  • Title

    Application of fuzzy cluster analysis in impact factor evaluation of technology innovation

  • Author

    Ling, He ; Jianhua, Qiu

  • Author_Institution
    Bus. Sch., Central South Univ., Changsha, China
  • fYear
    2011
  • fDate
    8-11 Jan. 2011
  • Firstpage
    231
  • Lastpage
    234
  • Abstract
    Many factors affect the technology innovation power. But every factor´s impact degree is vague. The traditional cluster analysis method can not reasonably evaluate these factors´ impact degree. Based on fuzzy cluster analysis and matlab software, the paper can obtain more reasonable evaluation results about various factors´ impact degree on technology innovation power. The evaluation results can give positive guidance for technology innovation decision-making. The research is of great theoretical value and practical significance for grasping main factors which have significant effect on the technology innovation power and improving relevant management measures.
  • Keywords
    decision making; fuzzy set theory; innovation management; technology management; decision-making; fuzzy cluster analysis; impact factor evaluation; technology innovation; Government; Iron; Materials; Production; Reactive power; Steel; Technological innovation; external power; fuzzy cluster analysis; internal power; matlab software; technology innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Industrial Engineering (MSIE), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8383-9
  • Type

    conf

  • DOI
    10.1109/MSIE.2011.5707704
  • Filename
    5707704