【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。更多还原

【Abstract】 Incomplete information is usually existed in real applictation, and how to mine available rules from incomplete informationis a valuable problem. Rough sets theory is an effective data mining method, but classical rough sets can not deal with incomplete in-formation system. An algorithm based on extension of classical rough sets theory for mining available rules from incomplete decisiontables was provided. The algorithm applying to analyze decision of credit were also presented.更多还原