多分类器组合是对决策层的数据进行融合。
The multiple classifiers combination fuses the decision level data.
多分类器组合策略有两类：多分类器融合和多分类器选择。
There are two strategies for multiple classifiers combination: multiple classifiers fusion and multiple classifiers selection.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
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