变精度粗糙集理论VPRS在镇流器智能检测中的应用

Application of Variable Precision Rough Set Theory in Intelligent Detection for the Electronic Ballasts

将变精度粗糙集理论VPRS引入电子镇流器的在线质量检测中，提出了一种基于变精度粗糙集理论的知识发现模型。在满足检测工艺流程要求的条件下，增加了对于不一致检测规则的容错处理能力。在此基础上，经过属性约简和属性值约简，得出了有用的智能检测规则。通过镇流器质量检测的工程实例，验证了该知识发现模型的有效性。

To solve the current problem of complex factors affecting the product quality on the automatic detection line of electronic ballasts, the variable precision rough set （VPRS） theory is introduced into online quality detection in this paper. A knowledge discovery model based on VPRS is presented for electronic ballasts. The fault tolerance ability to the inconsistent detection rules is improved also matching the detection process requests. Some useful intelligent detection rules are generated after attribute reduction and attribute value reduction in variable precision rough set theory. Finally an engineering example for quality detection of electronic ballasts demonstrates the effectiveness of this knowledge discovery model.