Research on the Combination Rule Properties of Belief Function Theory

  • Jin Hongbin
  • Li Hongfei
  • Lan Jiangqiao
  • Shao Yinbo
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)


Belief function theory is an effective information fusion method for uncertain data. Belief function theory mainly includes Dempster-Shafer theory and Dezert-Smarandanche theory. Combination rules play an important role in belief function fusion. The fused result depends on the performance of combination rules. In this paper, properties of Dempster-Shafer theory and Dezert-Smarandanche theory combination rule are presented. The properties of combination rules are analyzed in three aspects as combination property, time series property and engineering property. The simulation results show that the properties presented are useful for analysis, improvement and application of combination rules in belief function theory.


Belief function theory Dempster-shafer theory Dezert-smarandanche theory Combination rule Property analysis 



Supported by National Science Foundation of China (Grant No. 61102168) Innovation Foundation in Air Force Radar Academy (Grant No. X11QN106).


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Jin Hongbin
    • 1
  • Li Hongfei
    • 1
  • Lan Jiangqiao
    • 1
  • Shao Yinbo
    • 1
  1. 1.Air Force Radar AcademyWuhanChina

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