高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于证据分类的DS证据合成及判决方法

何兵 毛士艺 张有为 李少洪

何兵, 毛士艺, 张有为, 李少洪. 基于证据分类的DS证据合成及判决方法[J]. 电子与信息学报, 2002, 24(7): 894-899.
引用本文: 何兵, 毛士艺, 张有为, 李少洪. 基于证据分类的DS证据合成及判决方法[J]. 电子与信息学报, 2002, 24(7): 894-899.
He Bing, Mao Shiyi, Zhang Youwei, Li Shaohong . Evidence combination and decision based on DS evidence theory and evidence classification[J]. Journal of Electronics & Information Technology, 2002, 24(7): 894-899.
Citation: He Bing, Mao Shiyi, Zhang Youwei, Li Shaohong . Evidence combination and decision based on DS evidence theory and evidence classification[J]. Journal of Electronics & Information Technology, 2002, 24(7): 894-899.

基于证据分类的DS证据合成及判决方法

Evidence combination and decision based on DS evidence theory and evidence classification

  • 摘要: 该文介绍了一种基于证据分类策略的修正DS证据合成方法,以解决证据冲突情况下的合成问题,该方法模仿人处理冲突信息时所采用的策略,即首先将证据分类,保证分在同一类中的证据具有较大的相似性,然后依据分类结果中各类证据的个数决定对该类合成结果的信任度并通过加权方法得到最终的合成证据。
  • A. P. Dempster, Upper and lower probabilities induced by a multivalued mapping, Annals of Mathematical Statistics, 1967, 38(2), 325-339.[2]D.Al. Buede, P. Girardi, A target identification comparison of Bayesian and Dempster-Shafer multisensor fusion, IEEE Trans. on SMC, Part A, 1997, 27(5), 569-577. [3]L.J Liu, J. Y. Yang, Model-based object classification using fused data, SP1E Vol. 161 1, Sensor Fusion IV, 1991, 65-76.[3]F. Voorbraak.[J].On the justification of Dempsters rule of combination, Artificial Intelligence.1991,:-[4]H.Y. Hau, R. L. Kashyap, A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination, AI Magazine, summer, 1986, 85-90.[5]G. Shafer, R. Logan, Implementing Demplsters rule for hierarchical evidence, Artificial lntelligtncc, 1987, 33(3), 271-298.[6]刘大有,欧阳继红,唐海鹰,陈建中,虞强源,一种简化证据理论模型的研究,计算机研究与发展,1990,36(2)1341-138.[7]向阳,史习智,证据理论合成规则的一点修正,上海交通大学学报,1990,33(3),357-360[8]P.Smets, The combination of evidence in the transferable belief model, IEEE Trans. on Pattern Analysis and Machine Intelligence, 1990, PAMI-12(5), 447-458.[9]IL. Y. l lau, R. L. Kashyap, Belief combination and propagation in a lattice-structured inference network. 1EEE, Trans. on SMC, 1990, SMC-20(1), 45-57.[10]P.R. Yager, Reasoning with uncertainty for expert system, Proc. 9th lnt. Joint Conf. Artificial Intell., 1985. 1295-1297.[11]R. 1R. Yager, On the aggregation of prioritized belief structures, IEEE Trans. on SMC. Part A.1996. SMC-A-26(6), 708-717.[12]E.Lefevre, O. Colot, P. Vannoorenberghe, D. de Brueq, A generic framework for resolving the conflict in the combination of belief structures, FUSION 2000, 3rd International Conference on lnformation Fusion, Paris, France July, 2000, CD-MOD-4-1.[13]Tin Kam Ho, Jonathan J. Hull, Sargui N. Sihari, Decision combination in multiple classifier systems, IEEE Trans. on Pattern Analysis and Machine Intelligence, 1994, PAMI-16(1), 66-75.[14]D. Black, The Theory of Committees and Elections, 2nd ed. London, Cambridge Uniyersity Press, 1958, 1963, chapter 1-4.[15]马骏,孙即祥,证据理论在信息融合中的应用,航天电子对抗,1998,1,49-57.
  • 加载中
计量
  • 文章访问数:  2540
  • HTML全文浏览量:  132
  • PDF下载量:  527
  • 被引次数: 0
出版历程
  • 收稿日期:  2001-02-11
  • 修回日期:  2001-08-06
  • 刊出日期:  2002-07-19

目录

    /

    返回文章
    返回