摘要： RS（Rough Set）理论具有对不完整数据进行分析和推理、发现数据间的关系、优化条件属性组合的能力，但只能处理量化数据。文章提出了将连续属性量化的最优化思想，借助模糊C均值算法实现了连续属性量化，探讨了基于模糊C均值与ＲＳ理论结合的模式分类方法，并给出了一个应用实例。

关键词: 模糊C均值, 智能信息处理, RS理论, 模式分类, 属性选择

Abstract: It is known that RS（Rough Set）theory has the capacity for analyzing and inferring incomplete data, discovering the relationship between data and the optimal condition attributes combinations, but it can process only the quantitated data. This paper advances an optimization idea of continuous attributes discretization，realizes the continuous attributes discretization with the Fuzzy-C-means method，and explores the method of pattern classfication based on combining Fuzzy-C-means with RS theory. And, an application example is given.

中图分类号: 

• TP182