计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (14): 95-98.
• 数据库、数据挖掘、机器学习 • 上一篇 下一篇
汪小燕，杨思春，申元霞
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WANG Xiaoyan, YANG Sichun, SHEN Yuanxia
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摘要： 针对大量存在的不一致决策表，研究了分配量函数和[β]分配量函数定义。依据Ziarko变精度粗糙集模型，提出利用计算条件属性组合的[β]重要度来选择属性的[β]重要度属性约简和利用[β]二进制可辨矩阵实现的[β]分配量属性约简，可有效解决不一致决策表属性约简问题。
关键词: 粗糙集, 属性约简, 变精度, 二进制可辨矩阵
Abstract: The distribution quantity function and [β] distribution quantity function are researched aiming at many inconsistent decision tables. Based on Ziarko variable precision rough set model, it puts forward that attribute reduction about [β]importance utilizing to calculate the importance of condition attributes combination to select the attribute and attribute reduction about [β]distribution quantity by [β] binary discernable matrix. They can effectively solve the problem of attribute reduction in inconsistent decision tables.
Key words: rough set, attribution reduction, variable precision, binary discernable matrix
汪小燕，杨思春，申元霞. 变精度粗集模型的属性约简研究[J]. 计算机工程与应用, 2015, 51(14): 95-98.
WANG Xiaoyan, YANG Sichun, SHEN Yuanxia. Research of attribute reduction in variable precision rough set model[J]. Computer Engineering and Applications, 2015, 51(14): 95-98.
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http://cea.ceaj.org/CN/Y2015/V51/I14/95
