期刊文献+

D-S证据理论在多传感器身份融合中的改进 被引量:2

Improvement of D-S Theory of Evidence in Multi-Sensor Identity Fusion System
下载PDF
导出
摘要 D-S证据理论是一种处理不确定性问题的有效方法,但是D-S证据理论组合规则的一些不足影响证据理论的应用。通过深入研究Dempster组合规则存在的问题,文章提出了一种新的基于Dempster组合规则的改进方法,理论分析和数值实验结果表明,改进后的方法弥补了Dempster组合规则不足,并能提高合成结果的可靠性。 D-S evidence theory is a useful method to deal with uncertainty problems. But its application is limited by the shortcomings of the combination rules. Through in-depth researching into deficiencies in the Dempster combination rule, the new combination rule is proposed in this paper. Theoretical analysis and examples have been done to demonstrate that the new method is better than Dempster' s rule and can improve the reliability of the combination result.
机构地区 [ [
出处 《信息工程大学学报》 2008年第2期176-178,186,共4页 Journal of Information Engineering University
关键词 身份融合 证据理论 DEMPSTER组合规则 identity fusion D-S evidence theory dempster combination rule
  • 相关文献

参考文献8

  • 1Voorbraak F.On the justification of Dempster's rule of combination[J].Artification Intelligence,1991,48(2):171-177
  • 2Sharer G,Logan R.Implementing Dempster's rule for hierachical evidence[J].Artificial Intelligence,1987,33(3):271-298.
  • 3Yager R R.On the Dempster-Sharer framework and new combination rules[J].Information Sciences,1987,41:93-138.
  • 4Dubois D,Prade H.Represent and COmbination of uncertainty with belief functions and possibility measures[J].Comput.Intell,1988,4:244-264.
  • 5Levre E.Colot O,et al.A generic framework for resolring the conflict in the combination of belief structures[C]//The 3rd Internation Conference on Information Fusion.Paris,France,2007,7:235-239.
  • 6王壮.C4ISR系统目标综合识别技术研究[D].长沙:国防科技大学ATR实验室,2003.
  • 7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
  • 8Diaeonis P,Zabell S L.Updating subjective probability[J].Journal of the American Statistical Society,1982,77(380):822-830.

二级参考文献20

  • 1WANG 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
  • 2LI 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.
  • 3Dempster A P. Upper and lower probabilities induced by a multi-valued mapping[J]. Annual Math Statist, 1967, 38(4): 325-339
  • 4Shafer G. A Mathematical Theory of Evidence[M]. Princeton University. Press, Princeton, 1976
  • 5Yang J B. Singh M G. An evidential reasoning approach for multiple-attributed decision making with uncertainty[J]. IEEE Transaction on System, Man and Cybernetics, 1994, 24(1): 1-18
  • 6Yang J, Sen P. A general multilevel evaluation process for hybrid MADM with uncertainty[J]. IEEE Transaction on System, Man and Cybernetics, 1994, 24(10): 1458-1473
  • 7Drukopoulos E, Hsia Y T, Smets P. Transferable belief model for decision making in the evaluation based systems[J]. IEEE Trans on System, Man and Cybernetics, 1996, 26(1): 698-712
  • 8Walley P. Measure of uncertainty in expert system[J], Artificial Intelligence, 1996, 83(1): 1-58
  • 9Zadeh L. Asimple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination[J]. AI Magazine, 1986, 7(1): 85-90
  • 10Yager R R. On the Dempster-Shafer framework and new combination rules[J]. Information Science, 1989, 41(2): 93-137

共引文献252

同被引文献26

  • 1胡丽芳,关欣,何友.一种有效地解决冲突证据的组合方法[J].舰船电子工程,2008,28(1):14-16. 被引量:6
  • 2Liu N., B. Ang. Factors Shaping Aggregate Energy Intensity Trend for Industry: Energy Intensity Versus Product Mix [J]. Energy Economics, 2007, (29).
  • 3David I. Stern. Modeling The Global Diffusion of Energy Efficiency And Low Carbon Technology [R]. Environmental Economics Research Hub Research Reports,No.20,2009.
  • 4S. Trideeh K, Cheng. Low Carbon Manufacturing: Characterization, Theoritical Models and Implementation[C]. The 6th International Con- ference on Manufacturing Research(ICMR08),2008.
  • 5Hyun Lee, Jae Sung Choi, Ramez Elmasri .A Static Evidential Network for Context Reasoning in Home-Based Care[J]. IEEE Transactions on Systems, Man and Cybernetics--Part A: Systems and Humans, November, 2010, 40(6): 1232-1243.
  • 6Ksawery Krenc, Adam Kawalec. An application of DSmT in ontology-based fusion systems[C]// 12th International Conference on Information Fusion, Seattle, WA, USA, July 6-9, 2009: 1218-1224.
  • 7Hong Wen, Xinhan Huang, Xinde Li. A new tool applied to robot perception by selecting evi- dence sources[C]//Proceedings of the IEEE International Conference onAutomation and Logistics Qingdao, China, September 2008: 2364-2369.
  • 8Xinde Li, Jean Dezert, Florentin Smarandache. Evidence Supporting Mmeasure of Similarity for Reducing the Complexity in Information Funsion[J]. Information Sciences, 2011: 1818-1835.
  • 9Fei Li, Xiaofeng Wang. An Effective Combination Rule when Evidence Conflict[C]// 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics, 2011: 11-14.
  • 10Odeberg H. Distance measures for sensor opinions[J]. Measurement Science and Technology, 1993, 4(8): 808-815.

引证文献2

二级引证文献3

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