• DocumentCode
    2636516
  • Title

    Improving the evidence combination formulas of D-S Evidential Theory in medical information fusing

  • Author

    Guo, Yinjing ; Geng, Ruiduo ; Wang, Ting ; Chen, Xianqing ; Chen, Youfeng

  • Author_Institution
    Economic & Tech. Dev., Shandong Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    One of the key technique in information fusion research is to fuse incomplete information acquired from multi-sensors using D-S Evidential Theory. Because of the shortcomings of D-S Evidential Theory, there are certain limitations in evidential theory applications. An improving method based on D-S Evidential Theory is put forward in this paper. A research is done in improving Yager combined formulas. From the comparisons, the result is obviously that the improving formulas are more advanced than the old ones. Furthermore the improving formulas have more value in theory and practice.
  • Keywords
    case-based reasoning; medical signal processing; sensor fusion; uncertainty handling; D-S evidential theory; evidence combination formulas; incomplete information fusion; medical information fusion; multi-sensors; Communication system control; Control systems; Environmental economics; Fuses; Information representation; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal detection; Target recognition; D-S Evidential Theory; basic possibility assignment; information fusion; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776191
  • Filename
    4776191