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基于区分矩阵和属性重要性的约简算法

Algorithem Reduction Based on Discernibility Matrix and the Attribute Importance
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摘要 针对区分矩阵生成区分函数计算量大的问题,将区分矩阵和属性频率重要性相结合,对区分矩阵进行简化,从而得到约简。通过实例分析,验证了该算法的有效性。 The distinction between generating discernibility function matrix computation big problem,would distinguish between the importance of matrix and the properties of the frequency combination of the discernibility matrix can be simplified,and thus obtain reduction.Through the case study to verify the effectiveness of the algorithm.
作者 王爱平 刘娟
出处 《电脑编程技巧与维护》 2009年第24期40-41,共2页 Computer Programming Skills & Maintenance
关键词 属性约简 区分矩阵 简化矩阵 属性频率 attribute reduction distinguish matrix simplify the matrix attribute frequency
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