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基于證據(jù)分類的DS證據(jù)合成及判決方法

何兵,  毛士藝,  張有為,  李少洪

何兵, 毛士藝, 張有為, 李少洪. 基于證據(jù)分類的DS證據(jù)合成及判決方法[J]. 電子與信息學(xué)報, 2002, 24(7): 894-899.
引用本文: 何兵, 毛士藝, 張有為, 李少洪. 基于證據(jù)分類的DS證據(jù)合成及判決方法[J]. 電子與信息學(xué)報, 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.

基于證據(jù)分類的DS證據(jù)合成及判決方法

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

  • 摘要: 該文介紹了一種基于證據(jù)分類策略的修正DS證據(jù)合成方法,以解決證據(jù)沖突情況下的合成問題,該方法模仿人處理沖突信息時所采用的策略,即首先將證據(jù)分類,保證分在同一類中的證據(jù)具有較大的相似性,然后依據(jù)分類結(jié)果中各類證據(jù)的個數(shù)決定對該類合成結(jié)果的信任度并通過加權(quán)方法得到最終的合成證據(jù)。
    Abstract: A modified DS evidence combination method based on evidence classification is introduced. Such a method imitates human s behavior in classification to solve the problem of combing evidences with high degree of conflict. When a sequence of beliefs is available, first, those beliefs are classified into several sets to decide which ones correspond with each other and can be combined with DS rule reasonably, and then all the combination results are integrated with weight rule to form the final result.
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  • 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]劉大有,歐陽繼紅,唐海鷹,陳建中,虞強源,一種簡化證據(jù)理論模型的研究,計算機研究與發(fā)展,1990,36(2)1341-138.[7]向陽,史習(xí)智,證據(jù)理論合成規(guī)則的一點修正,上海交通大學(xué)學(xué)報,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]馬駿,孫即祥,證據(jù)理論在信息融合中的應(yīng)用,航天電子對抗,1998,1,49-57.
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出版歷程
  • 收稿日期:  2001-02-11
  • 修回日期:  2001-08-06
  • 刊出日期:  2002-07-19

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