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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 of precision geometric dilution (GDOP) in passive location, the concept of proposition dilution is defined in the theory of evidence. The degree of proposition dilution is used to adjust the unknown degree of propositions and the support of propositions and the DS combination formula is used to complete the evidence Combinatorial to solve the problem of the synthesis of evidence of conflict.The analysis shows that the algorithm is more in line with people’s understanding of the law.This algorithm shows good performance by example comparison.