摘要
通过运用粗糙集归约理论对资料进行浓缩和筛选,略去不必要的属性,简化数据. 用模糊模式识别确定对象应当归属的模式,给出其对于各个模式的相对隶属度,从而达到分类目的. 经实例计算,得到了较好的结果.
In recent years, the theories of fuzzy systems and rough sets have been well developed respectively. In the paper, a combination of the two and its applications are presented. With the theory of rough set attribute reduction, unnecessary attributes are simplified based on old database. Relative memberships of new samples can be determined by fuzzy pattern recognition, which therefore result in less number of attributes for classification. Test examples show that this hybrid method can work reasonably and satisfactorily.
出处
《上海理工大学学报》
CAS
北大核心
2003年第1期50-53,共4页
Journal of University of Shanghai For Science and Technology
关键词
粗糙集
属性约简
模糊识别
rough set
attribute reduction
fuzzy pattern recognition
