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  • 标题:A New Method to Determine BPA in Evidence Theory
  • 本地全文:下载
  • 作者:Jiang, Wen ; Deng, Yong ; Peng, JinYe
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2011
  • 卷号:6
  • 期号:6
  • 页码:1162-1167
  • DOI:10.4304/jcp.6.6.1162-1167
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Dempster Shafer theory of evidence has been widely used in many data fusion application systems. However, how to determine basic probability assignment, which is the main and the first step in evidence theory, is still an open issue. In this paper, based on the distance measure between the sample data under test and the model of attribute of species, a new method to obtain BPA is proposed. A numerical example is used to illustrate the efficiency of the proposed method.
  • 关键词:Sensor fusion;Dempster Shafer theory of evidence;basic probability assignment;normal distribution;distance measure
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