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基于全局冲突系数的证据权重确定及合成研究 被引量:1

Determination of Evidence Weight Coefficient and D-S Combination Research Based on Global Conflict Coefficient
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摘要 为对证据源进行合理修正,解决高冲突证据合成时存在的问题,提出了一种新的证据权重确定方法。首先利用证据之间的局部冲突和相似性求出各个证据的全局冲突系数;其次取全局冲突系数的反值作为证据的权重并利用该权重对原证据的概率进行重新分配;最后对修正后的证据进行合成。算例比较结果表明,该方法与其他方法相比有较强的优越性。 To modify the evidence source reasonably and deal with the problem arising in using D-S combination rule for the combination of highly conflicting evidences,this paper proposes a new evidence weight determination method.Firstly,a global conflict coefficient of the evidence is calculated by local conflict and similarity between evidence.Secondly,the inverse value of the global conflict coefficient is taken as the evidence weight and the weight is used to reallocate the probability of the original evidence.Finally,the modified evidence is combined.The results show that the method is superior to other methods.
作者 许将军 彭旭 吕伟 刘小涵 XU Jiang-jun;PENG Xu;LYU Wei;LIU Xiao-han(Aviation Engineering Institute,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China)
出处 《计算机科学》 CSCD 北大核心 2020年第S02期591-592,619,共3页 Computer Science
关键词 相似系数 局部冲突 全局冲突 权重系数 Similarity coefficient Local conflict Global conflict Weight coefficient
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  • 1郭华伟,施文康,邓勇,陈智军.证据冲突:丢弃,发现或化解?[J].系统工程与电子技术,2007,29(6):890-898. 被引量:55
  • 2袁进徐,杨茂军,赵建峰.干扰条件下空中目标识别方法研究[J].指挥控制与仿真,2007,29(4):33-37. 被引量:2
  • 3Yang J B, Singh M G. An evidential reasoning approach for multiple-attributed decision making with uncertainty [ J]. IEEE Transactions on System, Man and Cybernetics, 2004, 34(1):1-18.
  • 4SmarandacheF, Dezert J. Four versions of the proportional conflict redistribution rules of combination in information fusion [ J ]. Information Fusion, 2004,41 (3) : 386 - 395.
  • 5Yang J, Sen P. A general multi level evaluation process for hybrid MADM with uncertainty [ J ] . IEEE Transactions on System, Man and Cybernetics, 2006,36(10) : 1458 - 1473.
  • 6Duarte M, Hu Y H. Distance based decision fusion in a distributed wireless sensor network[J]. Telecommunication Systems, 2004,26(2 - 4) :339 - 350.
  • 7Xu Lijia, Chen Yangzhou, Cui Pingyuan. Improvement of D - S evidential theory in multi- sensor data fusion system[ C]// Proceedings of the 6th World Congress on Intelligent Control and Automation. [ S. l. ] : IEEE, 2004: 580 - 589.
  • 8Liu W. Analyzing the degree of conflict among belief functions [ J]. Artificial Intelligence, 2006,170( 11 ) : 909 - 924.
  • 9KuUback Leibler divergence [ EB/OL ]. [ 2010 - 11 - 09 ]. http://en, wikipedia, org/wiki/Kullback - Leibler _ divergence.
  • 10Yager R R. On the dempster-shafer framework and new combination rules[J]. Information Sciences, 1987,41(2) :93 - 137.

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