期刊
APPLIED INTELLIGENCE
卷 25, 期 1, 页码 73-90出版社
SPRINGER
DOI: 10.1007/s10489-006-8867-y
关键词
Dempster's combination rule; Dempster-Shafer theory; independent classifiers; dependent classifiers; classifier combination; pattern classification
In classifier combination, the relative values of beliefs assigned to different hypotheses are more important than accurate estimation of the combined belief function representing the joint observation space. Because of this, the independence requirement in Dempster's rule should be examined from classifier combination point of view. In this study, it is investigated whether there is a set of dependent classifiers which provides a better combined accuracy than independent classifiers when Dempster's rule of combination is used. The analysis carried out for three different representations of statistical evidence has shown that the combination of dependent classifiers using Dempster's rule may provide much better combined accuracies compared to independent classifiers.
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