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  • 标题:CDMBE: A Case Description Model Based on Evidence
  • 本地全文:下载
  • 作者:Jianlin Zhu ; Xiaoping Yang ; Jing Zhou
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2015
  • 卷号:2015
  • DOI:10.1155/2015/470818
  • 出版社:Hindawi Publishing Corporation
  • 摘要:By combining the advantages of argument map and Bayesian network, a case description model based on evidence (CDMBE), which is suitable to continental law system, is proposed to describe the criminal cases. The logic of the model adopts the credibility logical reason and gets evidence-based reasoning quantitatively based on evidences. In order to consist with practical inference rules, five types of relationship and a set of rules are defined to calculate the credibility of assumptions based on the credibility and supportability of the related evidences. Experiments show that the model can get users’ ideas into a figure and the results calculated from CDMBE are in line with those from Bayesian model.
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