• DocumentCode
    3138285
  • Title

    Study on information fusion method of extenics-based D-S evidential theory

  • Author

    Qi, Furong ; Wu, Qiang ; Li, Zhong ; Wang, Ailing

  • Author_Institution
    Coll. of Geosci. & Surveying Eng., China Univ. of Min. & Technol., Beijing, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2975
  • Lastpage
    2978
  • Abstract
    Making analysis on the theories of D-S evidential reasoning, rough sets and extenics sets, the three theory held comparability in defining uncertainty sets. It´s feasible to introduce the relevant theories and methods of extenics to information fusion and a method of extenics fusion (MEF) is presented as well. The method combines extenic correlation function with Dempster rule and is considered to be a good solution in solving evidence collision and BPA function in information fusion method basing on D-S evidential theory. The simulation test results show that MEF is better than the traditional D-S evidential theory and is applicable to all kinds of evaluation problems.
  • Keywords
    correlation theory; inference mechanisms; rough set theory; D-S evidential reasoning; Dempster rule; extenic correlation function; extenics sets; information fusion method; method of extenics fusion; rough sets; Correlation; Data models; Finite element methods; Joints; Reliability; Set theory; Uncertainty; BPA; D-S evidential theory; Extenics; Extenics fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639337
  • Filename
    5639337