• DocumentCode
    2388348
  • Title

    A new method to determine Basic Probability Assignment under fuzzy environment

  • Author

    Wen Jiang ; Dejie Duanmu ; Xin Fan ; Yong Deng

  • Author_Institution
    Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    758
  • Lastpage
    762
  • Abstract
    Dempster Shafer theory of evidence has been widely used in many data fusion application systems. However, how to determine Basic Probability Assignment (BPA), which is the main and the first step in evidence theory, is still an open issue. In the proposed method, species model can be constructed by determination of the min, average and max value to construct a triangular fuzzy number. Then, a method to obtain BPA is proposed based on the similarity measure between generalized fuzzy numbers. Finally, the Iris data classification is used to verify the effectiveness of the proposed method.
  • Keywords
    fuzzy set theory; inference mechanisms; iris recognition; probability; sensor fusion; BPA; Dempster Shafer theory; average value determination; basic probability assignment; data fusion application systems; evidence theory; fuzzy environment; fuzzy numbers; iris data classification; max value determination; min value determination; similarity measurement; triangular fuzzy number; Area measurement; Bismuth; Data models; Educational institutions; Iris; Nickel; Standards; Dempster-Shafer evidence theory; basic probability assignment; data fusion; triangular fuzzy number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223121
  • Filename
    6223121