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一种新的证据合成法则 被引量:2

A new combination rules of evidences
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摘要 首先讨论了冲突信息利用的几种途径 ,在此基础上提出了一种新的证据合成法则 ,将焦元的基数及信度的相对差异引入到新合成法则中 ,并在焦元及焦元的两两并集上分配信度 ,从而更合理地表达不确定和保留冲突信息 ;并且不用针对特殊情况进行处理 ,体现了新合成法则在形式上的统一性 . This paper discusses several ways to utilize conflicting evidences, and on the basis of them, it presents a new combination rules. dimension of focus element and the belief difference of two belief functions are suggested into the new combination rules; for all of focus element A i,B j, A i, B j and A i∪B j are all provided some BPA, which can express uncertainty and keep conflict more properly; and more the new combination rules avoid special treatment in special cases, which show uniformity formally of the new combination rules.Typical evidences and real instances show this combination rules can combine highly conflicting evidences more satisfactory.
作者 章勇 丁秋林
出处 《东南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2003年第z1期205-208,共4页 Journal of Southeast University:Natural Science Edition
关键词 证据理论 合成法则 冲突证据 信度函数 evidence theory combination rules conflicting evidences belief functions
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参考文献4

  • 1[2]Yager Ronald R. On the dempster-shafer framework and new combination rules[J]. Information Sciences,1987,41(2):93-137.
  • 2[6]Horiuchi Takahiko. A new theory of evidence for non-exclusive elementary propositions[J]. International Journal of Systems Science, 1996,27(10):989-994.
  • 3[7]Horiuchi Takahiko. Decision rule for pattern classification by integrating inteval feature values[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1998, 20(4):440-448.
  • 4[8]Murphy Catherine K. Combining belief functions when evidence conflicts[J]. Decision Support Systems, 2000,29:1-9.

同被引文献10

  • 1许丽佳.DS理论在信息融合中的改进[J].系统工程与电子技术,2004,26(6):717-720. 被引量:24
  • 2MOHAMED A H,ABDULLAH S A. ANN-based approach for fast fault diagnosis and alarm handling of power systems[A]. Proceedings of 5th International Conference on Advances in Power System Control,Operation and Management[ C ]. Hongkong:[ s.n. ], 2000. 54 - 58.
  • 3XIE Shao-feng,LI Qun-zhan. Applications of expert system based on mixed reasoning in traction substation fault diagnosis[A]. Proceedings of the 2 nd International Workshop on Autonomous Decentralized System[C].[s.l.]:[s.n.] ,2002. 229-232.
  • 4LO K L,NG H S,GRANT D M,et al. Extended Petri net models for fault diagnosis for substation automation[J].IEE Proceedings-Generations,Transmissions and Distributions, 1999,146 (3): 229 - 234.
  • 5WANG Zhuang,HU Wei-dong,YU Wen-xian. A quick evidential classification algorithm based on k-nearest neighbor rule[A]. Proceedings of Second International Conference on Machine Learning and Cybernetics[C].Xi' an, China:[ s.n. ],2003. 3248 - 3252.
  • 6Catherine K.Murphy.Combining belief functions when evidence conflicts[J].Decision Support Systems,2000,29(1):1-9.
  • 7向阳,史习智.证据理论合成规则的一点修正[J].上海交通大学学报,1999,33(3):357-360. 被引量:64
  • 8孙全,叶秀清,顾伟康.一种新的基于证据理论的合成公式[J].电子学报,2000,28(8):116-119. 被引量:452
  • 9张山鹰,潘泉,张洪才.一种新的证据推理组合规则[J].控制与决策,2000,15(5):540-544. 被引量:74
  • 10郑孝勇,姚景顺,刘维国,朱广成.一种数据融合算法的初步提出[J].数学的实践与认识,2003,33(1):54-59. 被引量:9

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