基于粗糙集的缺失数据循环搜索重建算法

Rough Set Based Missing Data Rotative Reconstruction Algorithms

提出了一种基于粗糙集理论的缺失数据循环搜索重建算法,分析了算法的复杂性,并选择一个典型数据集进行了缺失数据重建的实验。结果表明,该算法不但能较为准确地重建缺失数据,在控制噪声引入方面也有较好的表现。

In this paper, a missing data rotative reconstruction algorithms based on rough theory is proposed, and the complexity of the algorithms is analyzed, finally a missing Data reconstruction experiment with a typical dataset is conducted. The result of experimentation show the algorithms no only reconstruct the missing data well, but also have the good performance on noises control.