摘要： 文章探讨了Rough集理论在数据挖掘中的两种应用。一是在生成相对确定规则时,Rough集方法提供了一种工具来简化挖掘过程、提高挖掘效率,使最后得到的规则精简。另一应用是在生成相对不确定规则时,Roush集方法可根据属性的区别函数用来“创建不确定性”;同时,为了提高对噪音的预防能力,给出了Rough集的扩展模型。

关键词: Rough集, 数据挖掘, 无区别关系, 正/负领域, 边界领域

Abstract: We explore the application of Rough Set in data Mining in two ways.First, in generating relatively deterministic rules, the Rough Set provides us a tool to simplify the process of mining, improve the mining efficiency, and make the generated rules simpler and more concise.Second, in generating relatively non-deterministic rules, it will help us to create non-derterminstic information. It depends in the discernibility function of the attributes.In order to improve insensitivity to noise, we give the extension model of Rough Set.

中图分类号: 

• TP311.12