| 引用本文： |
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危前进,董荣胜,孟瑜,崔更申.一种基于粗糙集的机械装配知识发现方法[J].广西科学院学报,2012,28(1):31-34. [点击复制]
- WEI Qian-jin,DONG Rong-sheng,MENG Yu,CUI Geng-shen.Knowledge Discovery Method for Mechanical Assembly Based on Rough Set[J].Journal of Guangxi Academy of Sciences,2012,28(1):31-34. [点击复制]
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| 摘要: |
| 为了解决机械装配行业工艺知识提取困难的问题,提出一种基于粗糙集理论的装配知识发现方法,给出其计算机软件实现方案,并用实例验证方法的有效性。该方法运用粗糙集中属性重要度的概念和方法,实现属性核和属性约简的求解,并根据约简挖掘隐含在经验数据中的专家知识,形成相应的决策规则。实例验证结果说明,该方法可以有效地提高装配效率和装配知识的学习。 |
| 关键词: 知识发现 粗糙集 机械装配 |
| DOI： |
| 投稿时间：2011-10-05 |
| 基金项目: |
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| Knowledge Discovery Method for Mechanical Assembly Based on Rough Set |
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WEI Qian-jin1,2, DONG Rong-sheng2, MENG Yu1,2, CUI Geng-shen2
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| (1.School of Electronic Engineering, Xidian University, Xian, Shannxi, 710071, China;2.School of Computer Science, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China) |
| Abstract: |
| A knowledge discovery method for mechanical assembly based on rough set is proposed in this paper in order to solve the difficulty in knowledge discovery of mechanical assembly industry. Software for implementation of this method is described and verified. The method for computing the core and attribute reduction is designed based on the importance of attribute in accordance with reduction implicit in the experience of data mining expert knowledge and then generates the corresponding decision rules. The feasibility and effectiveness of system is discussed through a case study. |
| Key words: knowledge discovery rough set mechanical assembly |
