The combining rule of Dempster-Shafer theory for correlative evidence

被引:12
|
作者
Wang, Ping [1 ]
机构
[1] Xihua Univ, Elect & Informat Coll, Chengdu 610039, Peoples R China
关键词
data fusion; correlation coefficient; D-S evidence theory;
D O I
10.2991/iske.2007.106
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The thesis puts forward an improvement method for the combining rule of Dempster-Shafer evidence theory based on the correlation between evidences. Different from D-S theory, the correlation coefficient between evidences is introduced; and varies with the evidence fusion. By decreasing the probability evaluation of certainty and increasing the probability evaluation of uncertainty, the effect of correlative evidence to fusion result is reduced, and then we can get the fusion result which is closer to the fact. There is an example to expand the advantage of this method. The example shows that the method is helpful to find a correct result.
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页数:1
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