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基于粗糙集的零件合并专家知识获取方法
引用本文:薛俊芳,向东,邱长华.基于粗糙集的零件合并专家知识获取方法[J].计算机集成制造系统,2007,13(8):1658-1664.
作者姓名:薛俊芳  向东  邱长华
作者单位:[1]哈尔滨工程大学机电学院,黑龙江哈尔滨150001 [2]内蒙古工业大学机械学院,内蒙古呼和浩特010051 [3]清华大学精密仪器与机械学系,北京100084
摘    要:以装拆时间、装拆难度、材料成本、制造成本、再设计和后处理成本,以及产品质量等的变化程度作为零件是否合并的条件属性,零件是否合并作为决策属性,应用粗糙集理论分析设计过程中的专家经验和知识.在经典粗集理论的基础上,以属性重要度作为启发式信息来计算属性核和属性约简,并以此挖掘隐含在经验数据中的专家知识,形成零件是否可以合并的决策规则.最后,以小型塑封机再优化设计为例,验证了该方法的实用性和有效性.

关 键 词:零件合并  粗糙集  知识获取  粗糙集理论  零件  专家知识  知识获取  方法  rough  set  based  integration  component  method  有效性  验证  优化设计  塑封机  决策规则  经验数据  挖掘隐含  属性约简  属性核  计算
文章编号:1006-5911(2007)08-1658-07
收稿时间:2006-09-18
修稿时间:2006-09-182006-12-18

Knowledge acquirement method for component integration based on rough set
XUE Jun-fang,XIANG Dong,QIU Chang-hua.Knowledge acquirement method for component integration based on rough set[J].Computer Integrated Manufacturing Systems,2007,13(8):1658-1664.
Authors:XUE Jun-fang  XIANG Dong  QIU Chang-hua
Abstract:A methodology based on Rough Set(RS) was developed to analyze expertise and acquire expert knowledge wrapped in experienced data.It regarded assembly/disassembly time,assembly/disassembly difficulty,material cost,manufacturing cost,redesign cost and quality cost as condition attributes,while taking component integration as decision attribute.Based on classical RS,attribute importance was used to calculate the core and reduction of attribute as heuristic information, and then expertise wrapped in experienced data was mined.An instance was provided to illustrate the feasibility and effectiveness of the proposed method.
Keywords:component integration  rough set  knowledge acquirement
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