| 摘要: |
| 建立数据缺失情况下的学生能力测评系统,并在新的属性集覆盖率和属性重要性等概念的基础上,提出该测评系统的属性约简和规则提取方法,最后用实例验证方法的有效性. |
| 关键词: 能力测评系统 粗糙集 属性的重要性 属性约简 规则提取 |
| DOI： |
| 投稿时间：2013-01-07修订日期：2013-03-15 |
| 基金项目:广西自然科学基金项目(桂科自0991027)资助。 |
|
| Study on the Ability Evaluation Method of Students based on Missing Data |
|
MAI Hong-yuan1,2
|
| (1.College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi, 530004, China;2.Guangxi Electric Power Institute of Vocational Training, Nanning, Guangxi, 530007, China) |
| Abstract: |
| The evaluation system of student ability is built in missing data, and the new concepts of coverage of the attribute set and the attribute importance are presented.Then the algorithms for attribute reduction and rule extraction are proposed. Finally, the effectiveness of this method is validated by an example. |
| Key words: capacity evaluation system rough sets attribute importance attribute reduction rule extraction |
