• DocumentCode
    2748576
  • Title

    Evaluation model of regional logistics competence based on hierarchy and fuzzy decision

  • Author

    Shao Ju-ping ; He Ke-tai ; Dong, Wang ; Wu Ii-hua ; Ma tiara-yun ; Wang Dong

  • Author_Institution
    Dept. of Logistics Eng., Sci. & Technol. Univ., Beijing
  • fYear
    2008
  • fDate
    13-16 July 2008
  • Firstpage
    245
  • Lastpage
    250
  • Abstract
    According to systematic characteristic of regional logistics, put forward the comparatively systematic and entire evaluation index system of regional logistics competence. With this understanding, applying the hierarchy analysis thought and fuzzy pattern recognition principles, the hybrid index overall evaluation method was suggested. The main characteristics of this method is that it has considered the quantitative and qualitative indexes of the evaluation index system. So, it might impersonally and truly reflect the evaluation object. Finally, an illustrative example was given to clarify the effectiveness of the designed index system and evaluation method, have practical application value.
  • Keywords
    fuzzy set theory; logistics; pattern recognition; evaluation index system; evaluation model; fuzzy decision; fuzzy pattern recognition principles; hierarchy decision; hybrid index overall evaluation; qualitative indexes; quantitative indexes; regional logistics competence; systematic characteristic; Communication industry; Educational institutions; Educational technology; Employment; Fuzzy systems; Helium; Industrial economics; Investments; Logistics; Road vehicles; evaluation index; fuzzy consistent; fuzzy decision; hierarchy analysis; regional logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
  • Conference_Location
    Daejeon
  • ISSN
    1935-4576
  • Print_ISBN
    978-1-4244-2170-1
  • Electronic_ISBN
    1935-4576
  • Type

    conf

  • DOI
    10.1109/INDIN.2008.4618102
  • Filename
    4618102