摘要
研究用矩阵奇异值分解方法分析一类模糊模型的结构、奇异值分布与模糊规则的关系，用模糊规则的累积贡献率指导规则的精简，以求模型的拟合精度和结构简单性之间的平衡，从理论分析和仿真研究表明方法的可行性和实用性。
Using matrix singular value decomposition, the structure of a class of fuzzy models and the relations between singular values and fuzzy rules are studied. A rate of the fuzzy rule accumulative contribution is proposed to guide the process of the fuzzy model simplification in order to reach a balance between model fitting accuracy and model structure simplicity. The theoretical analysis and simulation results show that it is feasible and practicable.
出处
《华东理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2000年第1期77-82,共6页
Journal of East China University of Science and Technology
基金
国家自然科学基金!资助项目(69874011)
关键词
模糊模型
结构分析
奇异值分解
模糊控制
fuzzy model
structure analysis
singular value decomposition
rule simplification
