机构地区: 华南理工大学机械与汽车工程学院
出 处: 《机电工程技术》 2002年第6期81-83,共3页
摘 要: 针对CIMS环境下企业信息管理的特点,提出了基于数据挖掘的决策支持系统模型框架,模型将软计算方法(粗集、模糊集、遗传算法和人工神经网络)融合于数据挖掘过程,使之为企业决策者提供隐含的、精练的、高水平的知识。 According to the manufacturing characteristic of enterprisein CIMS, a model framework of enterprise decision support systembased on data mining is proposed. The model integrates some softcomputing arithmetics (including artificial neural network, fuzzy log-ic, genetic algorithms and rough set theory) into the data miningprocess, and provides the useful knowledge for the decision maker.