摘要
基于无源定位中精度几何稀释度(GDOP)的概念,定义了证据理论中命题稀释度的概念.利用命题的稀释度调整各证据的未知度和命题的支持度,并利用DS组合公式完成证据组合,以解决冲突证据的合成问题.分析表明,该算法更加符合人们的认识规律.经算例对比,该算法显示出良好的性能.
Based on the concept-GDOP of passive position,the proposition dilution of evidence theory is defined and used to adjust the support degrees of the propositions and ignorance of every evidence. The evidence combination is finished by using the DS rule. Thus,the combination of conflict evidences is solved. Analysis reveals that this algorithm is more in accord with the cognitive law of human beings. Compared with the current main algorithms through examples,this algorithm shows excellent performance.
出处
《控制与决策》
EI
CSCD
北大核心
2010年第2期278-281,286,共5页
Control and Decision
