【摘要】 在属性约简的过程中需要耗费大量的时间和计算机资源,针对如何提高粗糙集属性约简算法的运行效率问题,提出一种基于属性值集合链的快速属性约简算法。其时间复杂度为O(| C||U/C|),相对于分明矩阵的粗糙集属性约简算法的时间复杂度O(|U|~2|C|),运行效率在理论上得到明显提高。具体实验分析对比结果表明,在不同数据量的数据集上,该算法的实际时间效率比传统分明矩阵算法更优。更多还原

【Abstract】 Attribute reduction algorithms require high time consumption and computer resources in the process of attribute reduction.To improve the operation efficiency of rough set attribute reduction algorithm,a fast algorithm of attribute reduction algorithm based on the chain of attribute values was proposed,and the time complexity of the algorithm was O(| C||U/C|),relative to the rough set attribute reduction algorithm based on discernibility matrix of which time complexity was O(|U|~2|C|),the efficiency of the algorithm was significantly improved.Through concrete experiment analyzing,on datasets with different data volumes,the real time efficiency of the algorithm is better than traditional distinct matrix algorithm.更多还原