首先本文将粗糙集理论与模糊集理论进行比较，通过粗糙隶属函数将模糊集的研究方法引入到粗糙集的研究中。
In this paper, firstly we compare RST with fuzzy Sets Theory and introduce fuzzy method into the study of RST by the rough membership function.
提出应用粗糙集理论辩识模糊隶属函数的可行性。
The feasibility of applying theory of rough sets to the identification of fuzzy membership function is confirmed in this paper.
通过粗糙隶属度函数，将粗集理论与模糊理论联系起来，建立一种粗集理论与模糊理论的关系。
In this paper, we combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.
通过粗隶属函数，将粗糙集理论与模糊集理论联系起来，建立一种粗糙集理论与模糊集理论间的关系。
We combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.
都包括在内，总共有12个变量，磨削表面粗糙度的影响，并提出了7个主要的变量和模糊规则的隶属函数。
A total of 12 variables which have effect on the grinding surface roughness were included, and the membership functions of the 7 major variables of them and their fuzzy rules were presented.
都包括在内，总共有12个变量，磨削表面粗糙度的影响，并提出了7个主要的变量和模糊规则的隶属函数。
A total of 12 variables which have effect on the grinding surface roughness were included, and the membership functions of the 7 major variables of them and their fuzzy rules were presented.
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