• DocumentCode
    2196346
  • Title

    A gray fixed cluster method based on the Dempster-shafer evidential theory

  • Author

    Er-tian, Hua ; Wei-wei, Cao ; Ying, Chen ; Jun-jun, Xiao

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    3482
  • Lastpage
    3485
  • Abstract
    To overcomes the disadvantages of computing the attributes´ weight method in multi-attribute decision problem. In this paper, a weighted averaging method based on Dempster-shafer evidential theory and grey fixed weight cluster has been used. Firstly, by using the Dempster-shafer evidential theory can integrate the subjective and objective weights to get the weight coefficients, and then avoid the shortcomings of single weighting method. Secondly, after the fusion of weights which come from Dempster-shafer evidential theory, ones could apply information of grey classification of each clustering object fully. Finally, an example of design scheme selection is presented to illustrate the practicality and effectiveness of the method mentioned in this paper.
  • Keywords
    decision making; grey systems; inference mechanisms; pattern clustering; uncertainty handling; Dempster-Shafer evidential theory; design scheme selection; grey classification; grey fixed weight cluster method; multiattribute decision problem; weighted averaging method; Computational modeling; Computer science; Correlation; Decision making; Educational institutions; Entropy; Information entropy; Dempster-shafer evidential theory; design scheme selection; grey clustering evaluation; weights fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6067755
  • Filename
    6067755