The fineness and coarseness of approximation space;
近似空间的精细与粗糙以及最佳上下近似的性质
Rough model is proposed to build vague regions based on rough sets theory after the definition of rough regions and rough model.
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型,基于粗糙模型描述了二维离散空间中的模糊地理对象,并给出了粗糙区域的类型。
Only the rough model of the plant is needed and the system is stable and robust.
这种方法只需知道被控对象的粗糙模型。
Rough model is proposed to build vague regions based on upper and lower approximate sets of rough set theory after the definition of rough regions and rough model.
在粗糙集的基本概念上,基于上、下近似集定义了二维离散空间中的粗糙区域和粗糙模型,用粗糙模型描述二维离散空间中的模糊地理对象,并给出了粗糙区域的3种类型:确定—确定类型、确定—模糊类型、模糊—模糊类型。
A coarse model and a fine model are used in this work and realized by MATLAB and HFSS10 respectly.
快速空间映射算法就是用来找到粗糙模型和精确模型之间的映射关系,从而达到快速和精准设计超宽带滤波器的目的。
We exploit the cavity-model theory as the coarse model and electric magnetic simulation software HFSS as the fine model, they are aligned through Aggressive Space Mapping Algorithm.
粗糙模型和精细模型分别采用腔模理论和全波电磁仿真软件HFSS进行分析,并通过渐进空间映射算法联系起来。
