| 1. | Commerce data mining based on rough set theory
粗糙集理论在商业数据挖掘中的应用 |
| 2. | The roughness measures and data mining of s - rough sets
粗糙集的粗糙度与数据挖掘 |
| 3. | A rough set approach for analyzing the examination score
考试成绩分析的粗糙集方法 |
| 4. | A new l - reduced lattice reduction algorithm
本文提出一种基于粗糙集和模糊聚类 |
| 5. | The one - armed erlang bandit reward process
基于粗糙集理论的不完备决策表的完备化方法 |
| 6. | Rule generation approach based on rough set theory
一种基于粗糙集理论的规则获取算法 |
| 7. | Application of compatible rough sets in audio indexing
相容粗糙集在音频检索中的应用 |
| 8. | An image enhancing method based on rough sets
基于粗糙集理论的图像增强方法 |
| 9. | Rst software is also introduced in this thesis
粗糙集理论产生的规则不是完全可信的。 |
| 10. | Rough set model based on new set pair analysis
基于新集对分析的粗糙集模型 |
