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Volume 24 Issue 7
Jul.  2002
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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.

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

  • Received Date: 2001-02-11
  • Rev Recd Date: 2001-08-06
  • Publish Date: 2002-07-19
  • 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]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.
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