【摘要】 把基于粗集的属性约简方法与支持向量机分类器的基本理论相结合,以提高决策分类的综合性能。将所提方法应用于医疗诊断决策,并对属性约简前后的决策性能进行了比较分析。试验结果表明,利用约简后的数据集,计算复杂性降低,内存需求减少,同时仍能保持较高的决策准确率。更多还原

【Abstract】 The method of combining attribute reduction with the basic theory of support vector machines for classification is proposed.Then the method is applied to medical diagnostic decision-making.The experimental results indicate that the method can decrease the computational complexity and memory requirement.Furthermore,the decision-making accuracy is still satisfactory.更多还原