摘要
研究以输入空间模糊聚类为基础的模糊推理模型 ,通过模型结构奇异值分解与模糊统计信息准则相结合方法实现输入空间的最优模糊聚类 ,从而获得最优模糊推理模型 .
A fuzzy inference model based on optimal fuzzy clustering in the input space has been established. By combining model structure analysis based on singular value decomposition and fuzzy statistical information criteria, an optimal fuzzy cluster in the input space can be realized, and an optimal fuzzy inference system is attained. This model has been successfully applied to modeling jet fuel endpoint estimator for a fractionator of the hydrocracking unit in the oil refining industry.
出处
《信息与控制》
CSCD
北大核心
2000年第3期272-279,共8页
Information and Control
基金
工业制造技术国家重点实验室开放课题基金资助!(k972 0 4)
浙江省教委教师科研基金资助
关键词
最优模糊聚类
模糊推理系统
产品质量估计
油品
optimum fuzzy cluster, fuzzy inference, fuzzy statistical information criteria, singular value decomposition, product equality estimation
