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一种基于粗糙集的机械装配知识发现方法
引用本文: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
作者姓名:危前进  董荣胜  孟瑜  崔更申
作者单位:[1]西安电子科技大学电子工程学院,陕西西安710071 [2]桂林电子科技大学计算机科学与工程学院,广西桂林541004
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
收稿时间:2011-10-05

Knowledge Discovery Method for Mechanical Assembly Based on Rough Set
WEI Qian-jin,DONG Rong-sheng,MENG Yu and 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
Authors:WEI Qian-jin  DONG Rong-sheng  MENG Yu  CUI Geng-shen
Affiliation: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.
Keywords:knowledge discovery  rough set  mechanical assembly
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