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。
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.
出处
《机械科学与技术》
CSCD
北大核心
2005年第2期223-225,共3页
Mechanical Science and Technology for Aerospace Engineering
基金
科技部科技型中小企业创新基金项目(01C26226111002)资助
关键词
粗糙集
数据挖掘
概念设计
Rough sets
Data mining
Conceptual design
