| 基于拓展粗糙集的不完备表的规则挖掘及应用 |
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| 引用本文： | 蒋世忠,杨天奇.基于拓展粗糙集的不完备表的规则挖掘及应用[J].计算机工程与设计,2005,26(7):1767-1769. |
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| 作者姓名： | 蒋世忠 杨天奇 |
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| 作者单位： | 暨南大学,信息科技学院,计算机系,广东,广州,510632;暨南大学,信息科技学院,计算机系,广东,广州,510632 |
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| 基金项目： | 暨南大学自然科学基金项目（476）. |
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| 摘 要： | 实际应用中常存在缺省属性值的不完备信息系统，如何从不完备信息系统中挖掘有用规则是一个非常有价值的问题。粗糙集理论是一种有效的数据挖掘手段，但经典粗糙集缺乏对不完备信息系统的处理能力。在粗糙集拓展的基础上，设计出从不完备决策表中挖掘出有用规则的算法，并将其应用到银行贷款决策中不完备决策表的实例分析中。
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| 关 键 词： | 粗糙集 不完备决策表 拓展 决策规则 |
| 文章编号： | 1000-7024（2005）07-0767-03 |
| 收稿时间： | 2004-06-24 |
| 修稿时间： | 2004-06-24 |
Rules mining of incomplete decision tables based on extension of rough sets theory and its application |
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| JIANG Shi-zhong,YANG Tian-qi.Rules mining of incomplete decision tables based on extension of rough sets theory and its application[J].Computer Engineering and Design,2005,26(7):1767-1769. |
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| Authors: | JIANG Shi-zhong YANG Tian-qi |
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| Abstract: | Incomplete information is usually existed in real applictation, and how to mine available rules from incomplete information is a valuable problem. Rough sets theory is an effective data mining method, but classical rough sets can not deal with incomplete information system. An algorithm based on extension of classical rough sets theory for mining available rules from incomplete decision tables was provided. The algorithm applying to analyze decision of credit were also presented. |
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| Keywords: | rough sets theory incomplete decision tables extension decision rules |
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