| 一种基于粗集理论属性约简的粗化算法 |
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| 引用本文： | 张仕念,刘文奇.一种基于粗集理论属性约简的粗化算法[J].计算机应用与软件,2002,19(8):60-63. |
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| 作者姓名： | 张仕念 刘文奇 |
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| 作者单位： | 昆明理工大学系统科学与应用数学系,昆明,650093 |
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| 基金项目： | 云南省教委科研基金，云南省自然科学基金(编号:20033) |
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| 摘 要： | 本文基于粗集理论，针对知识表达系统提出了一种新的归纳学习方法，对该方法中条件属性的简化进行了详细的讨论，并给出了一种具体的属性约简算法，其特点是简单，容易实现，考虑了属性值代表范围的合理性。
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| 关 键 词： | 粗集理论 属性约简 粗化算法 知识表达系统 决策表 决策规则 机器学习 人工智能 |
A ROUGH ALGORITHM FOR ATTRIBUTE REDUCTION BASED ON ROUGH SET THEORY |
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| Zhang Shinian Liu Wenqi.A ROUGH ALGORITHM FOR ATTRIBUTE REDUCTION BASED ON ROUGH SET THEORY[J].Computer Applications and Software,2002,19(8):60-63. |
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| Authors: | Zhang Shinian Liu Wenqi |
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| Abstract: | In the paper,we make a new inductive learning approach to knowledge representation system based on rough set theory. The reduction of conditional attributes is discussed in detail, and then a computing algorithm based on the reasonable division of the range of conditional attributes is suggested. Being simple and easily implemented are the main characters of the algorithm. |
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| Keywords: | Rough set theory Knowledge representation system Decision table Decision rule |
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