摘要
给出了一种新的模糊集构成方法。用幂函数构成的模糊集满足测量准则,使模糊集理论更完善。并将幂函数模糊集应用到T-S模糊模型的辨识中。通过仿真试验,选择出最适合的模糊集。
A new method of constituting fuzzy set is given. The fuzzy set constituted by power function satisfies measure rule, and perfects the fuzzy theory. It is also applied in the identification of T-S fuzzy model that uses power function fuzzy set. In the end, the fittest fuzzy set is confirmed by simulation experiments.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第18期175-177,共3页
Computer Engineering
基金
国家自然科学基金资助项目"未确知信息处理方法研究"(60075013)
关键词
幂函数
模糊集形状
凸凹性
模糊辨识
Power function
Shape of fuzzy set
Convex property and concave property
Fuzzy identification
