关键词: 泛组合规则, 多分类器系统, 泛组合运算模型, 遗传算法

Abstract: The combination operators of multiple classifiers system are fixed combination operator with relatively poor serviceability.  The idea of flexibility of universal logic theory is introduced in multiple classifiers system, and a universal combination rule based on universal combination operation model is proposed. Universal combination rule is suitable to multiple classifiers system with parallel structure. Then genetic algorithm is used to estimate parameters of universal combination rule. The experimental results on time series datasets show that the classification performance of universal combination rule is better than that of fixed combination rules, which are product rule, mean rule, median rule, max rule, min rule and majority vote rule.

Key words: universal combination rule, multiple classifiers system, universal combination operation model, genetic algorithm