Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural Network

  • Dong Sun
  • Yong Deng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)


The method of discounting coefficient is an efficient way to solve the problem of evidence conflicts. In this paper a new method to calculate the discounting coefficient of evidence based on evidence clustering by the way of fuzzy ART neural network is proposed. The discounted evidence is taken into account in belief function combination. A numerical example is shown to illustrate the use of the proposed method to handle conflicting evidence.


Combination Rule Belief Function Evidence Theory Basic Probability Assignment Transferable Belief Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dong Sun
    • 1
  • Yong Deng
    • 1
  1. 1.Department 8, Institute of Automatic Detection (810)Shanghai Jiao Tong UniversityShanghaiChina

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