期刊文献+

基于Haenni方法的证据冲突原因分析 被引量:2

Reason analysis of conflicting evidence based on Haenni's method
下载PDF
导出
摘要 由于Dempster组合规则所存在的不足,在组合冲突信息时,会得出与直觉相反的结论。针对Zadeh悖论,Haenni给出了反驳,但冲突产生的原因分析不够全面。鉴于此,本文在他们的基础上,总结出冲突产生的原因,它不仅与传感器受干扰有关,与识别框架不完整也有关系,其中识别框架不完整还包括框架中的元素不详尽,出现了新目标和在两两证据进行推理过程中目标丢失导致的潜在冲突。 D-S evidence theory is a very useful tool in dealing with uncertainty problems,but counter-intuitive results are often obtained in intelligent reasoning.Haenni gave some confutation based on Zadeh's criticism of Dempster rule of combination.However,the reasons for conflict among evidences given by Haenni are not comprehensive.In this paper,the reasons for conflict among evidences are analyzed and summarized.One reason is that sensors are disturbed.The other is that the framework is not integrated,which also includes incomplete elements in the framework,new objects outside the framework,and lost objects leading to potential conflict in the reasoning process of two evidences.
出处 《信息与电子工程》 2011年第2期219-223,共5页 information and electronic engineering
基金 国家自然科学基金重点项目(61032001) 国家自然科学基金资助项目(60572161 60972160) 全国优秀博士论文作者专项资金资助项目(200443)
关键词 冲突证据 DEZERT-SMARANDACHE理论 DEMPSTER组合规则 信息融合 不确定性 conflict evidence Dezert-Smarandache Theory(DSmT) Dempster rule of combination information fusion uncertainty
  • 相关文献

参考文献12

  • 1Zadeh A L. Review of Books:A Mathematical Theory of Evidence[J]. AI Magazine, 1984,(3):81-83.
  • 2Yager R R. Using Approximate reasoning to represent default knowledge[J]. Artificial Intelligence. 1987,31(1):99-112.
  • 3Smets P. The combination of evidence in the transferable belief model[J]. IEEE Transactions on Patten Analysis and Machine Intelligence, 1990,12(5):447-458.
  • 4Dubois D, Prade H. Consonant approximation of belief functions[J]. International Journal approximation reasoning, 1990, 4(5-6):419-449.
  • 5Smets P. Analyzing the combination of conflicting belief functions[R]. Bruxelles:Universite Libra de Bruxelles, 2005.
  • 6Yager R R. General approach to the fusion of imprecise information[J]. International Journal of Intelligent Systems, 1997, 12(1):1-29.
  • 7Murphy C. Combining belief functions when evidence conflicts[J]. Decision Support Systems, 2000,29(1):1-9.
  • 8Jonsselme A,Grenier D,Bosse E. A new distance between two bodies of evidence[J]. Information Fusion, 2001,2(2): 91-101.
  • 9邓勇,施文康,朱振福.一种有效处理冲突证据的组合方法[J].红外与毫米波学报,2004,23(1):27-32. 被引量:253
  • 10关欣,衣晓,孙晓明,何友.有效处理冲突证据的融合方法[J].清华大学学报(自然科学版),2009(1):138-141. 被引量:20

二级参考文献29

  • 1苗壮,程咏梅,梁彦,潘泉,杨阳.一种改进的DSmT及其在目标识别中的应用[J].计算机应用,2005,25(9):2044-2046. 被引量:6
  • 2侯俊,苗壮,潘泉.一种基于加权DSmT的序列图像目标识别方法[J].火力与指挥控制,2006,31(7):53-56. 被引量:7
  • 3Dempster A P. A generalization of Bayesian inference [J]. Journal of the Royal Statistical Society, Series B. 1968, 30: 205 - 247.
  • 4Lefevre E, Colot O, Vannoorenberghe P. Belief functions combination and conflict management [J]. Information Fusion, 2002, 3(3): 149-162.
  • 5Haenni R. Are alternatives to Dempster's rule of combination real alternatives? Comments on "About the belief function combination and the conflict management problem" [J]. Info Fusion, 2002, 3(4) : 237 - 239.
  • 6GUAN Xin, YI Xiao, HE You. An improved Dempster-Shafer algorithm for resolving the conflicting evidences [J]. Int J Info Tech, 2005, 11(12) : 68 - 75.
  • 7WANG Yang, ZHENG Qin-Bo, ZHANG Jun-Ping, Target classification of the data fusion in multichannel using Dempster-Shafer method[J]. Journal of Infrared Millimeter Waves(汪洋,郑亲波,张钧屏.用证据理论方法进行多波段数据融合
  • 8LI Qiu-Hua, LI Ji-Cheng, SHEN Zhen-Kang, et al. A kind of method for IR small target recognition based on multi-sensors spatio-temporal information fusion[J], Journal of Infrared Millimeter Waves(李秋华,李吉成,沈振康等.
  • 9Dempster A P. Upper and lower probabilities induced by a multi-valued mapping[J]. Annual Math Statist, 1967, 38(4): 325-339
  • 10Shafer G. A Mathematical Theory of Evidence[M]. Princeton University. Press, Princeton, 1976

共引文献270

同被引文献35

  • 1郭小宾,王壮,胡卫东.基于贝叶斯网络的目标融合识别方法研究[J].系统仿真学报,2005,17(11):2713-2716. 被引量:18
  • 2郭小宾,王壮,胡卫东.基于贝叶斯网络分类器的雷达辐射源识别方法[J].火力与指挥控制,2006,31(2):36-39. 被引量:9
  • 3刘永祥,朱玉鹏,黎湘,庄钊文.导弹防御系统中的目标综合识别模型[J].电子与信息学报,2006,28(4):638-642. 被引量:16
  • 4史志富,张安,何胜强.基于贝叶斯网络的多传感器目标识别算法研究[J].传感技术学报,2007,20(4):921-924. 被引量:20
  • 5史志富,张安.贝叶斯网络理论及其在军事系统中的应用[M].北京:国防工业出版社,2012:28-29.
  • 6Boutheina Ben Yaghlane, Khaled Mellouli. Inference in directed evidential networks based on the transferable belief model[J]. Int J of Approximate Reasoning, 2008, 48(2): 399-418.
  • 7Felipe Aguirre, Mohamed Sallak, Frederic Vanderhaegen, et al. An evidential network approach to support uncertain multiviewpoint abductive reasoning[J]. Information Sciences, 2013, 253:110-125.
  • 8Wafa Laamari, Boutheina Ben Yaghlane, Chritophe Simon. Comparing evidential graphical models for imprecise reliability[C]. Scalable Uncertainty Management. Berlin Heidelberg: Springer, 2010: 191-204.
  • 9Ph Smets. Belief fuctions: The disjuctive rule of combination and the generalized Bayesian theorem[J]. Int J of Approximate Reasoning, 1993, 9(1): 1-35.
  • 10Shenoy P P. Valuation-based systems: A framework for managing uncertianty in expert systems[M]. New York: Wiley, 1992: 12.

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部