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基于粗糙集的数据挖掘技术在机械传动设计中的应用研究
Research on Application of Data Mining Techniques Based on Rough Sets to Mechanism Transmission Design
【摘要】 将粗糙集理论应用到数据挖掘中来指导产品概念设计,并结合基于属性的概念爬升技术,设计了粗糙集理 论指导下参数简化的基本模型。最后将其应用到机械传动概念设计和智能解题系统中。机械传动设计中对设计参 数进行了化简,并对设计参数与传动方案实现了多层次的挖掘,获得了两者之间不同抽象层次的关系规则信息。
【Abstract】 Rough set theory is applied to data mining for guiding product conceptual design. Combining concept climb of attributes, a framework that sustain product concept design guided by data mining based on rough sets is established. It is applied to mechanism transmission conceptual design and intelligent problem-solving. In mechanism transmission conceptual design, design parameters are predigested. The multi-tier mining for design parameter and transmission scheme is realized and relation rules of all kinds of abstract levels are obtained.
【基金】 科技部科技型中小企业创新基金项目(01C26226111002)资助
- 【文献出处】 机械科学与技术 ,Mechanical Science and Technology , 编辑部邮箱 ,2005年02期
- 【分类号】TH132
- 【被引频次】11
- 【下载频次】246