• DocumentCode
    2829918
  • Title

    The Application of Membership Degree Transformation New Algorithm in Military Transportation Performance Evaluation

  • Author

    Liu, Kai-Di ; Wang, Jin ; Ruan, Jun-Hu

  • Author_Institution
    Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    The core of performance fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification hidden in every index, affirm the relationship of object classification and index membership, eliminate the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership. The paper applied the new algorithm in the fuzzy evaluation on military transportation performance.
  • Keywords
    data mining; entropy; fuzzy logic; fuzzy set theory; logistics data processing; pattern classification; transportation; data mining technology; entropy method; fuzzy logical system; fuzzy set theory; hierarchical evaluation index system; knowledge information mining; military logistics activity; military transportation; object classification; object membership degree transformation algorithm; performance fuzzy evaluation; redundant data; Automatic control; Classification algorithms; Costs; Data mining; Entropy; Fuzzy systems; Logistics; Mathematics; Military computing; Transportation; distinguishable weight; effective value; fuzzy evaluation; membership degree transformation; military transportation performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3728-3
  • Type

    conf

  • DOI
    10.1109/CASE.2009.35
  • Filename
    5194381