| 基于粗糙集属性约简的模糊模式识别 |
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| 引用本文： | 张丽,马良.基于粗糙集属性约简的模糊模式识别[J].上海理工大学学报(社会科学版),2003,25(1):50-53. |
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| 作者姓名： | 张丽 马良 |
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| 作者单位： | 上海理工大学管理学院 上海200093
(张丽)，上海理工大学管理学院 上海200093(马良) |
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| 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。
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| 关 键 词： | 粗糙集 属性约简 模糊识别 |
Fuzzy pattern recognition based on rough set attribute reduction |
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| ZHANG Li,MA Liang.Fuzzy pattern recognition based on rough set attribute reduction[J].Journal of University of Shanghai For Science and Technilogy(Social Science),2003,25(1):50-53. |
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| Authors: | ZHANG Li MA Liang |
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| Abstract: | 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. |
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| Keywords: | rough set attribute reduction fuzzy pattern recognition |
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