关键词: 粗糙度预测, 数据挖掘, 知识建模, 粗糙集, 不可分辨—函数关系

Abstract: Aiming at the characteristic of massive information and integration of qualitative and quantitative knowledge in manufacturing process, the modeling thought by merging knowledge modeling with data mining was proposed. Based on rough set theory, a function relation of knowledge was built, and a new type of rough set model as well as its prediction method was constructed based on indiscernibility-function relations. Thus the machined surface roughness was predicted. The existed knowledge was embeded in data mining model by proposed model, which made the information classification more accurate, the knowledge contained in decision rules more rich, predicted accuracy higher and predicted range wider. Compared with other prediction models, the proposed model only needed the existed data and knowledge, and extra model structure and parameters of model were not designed. Experimental results showed that the proposed model had good exhibition on predicted effectiveness and predicted accuracy.

Key words: roughness prediction, data mining, knowledge modeling, rough sets, indiscernibility—function relation