进而，据此开发了一个基于信息分类的产品编码与配置系统，并提出了利用粗糙集的相关理论与方法处理配置过程中的客户模糊需求信息的方法。
Moreover, the product coding and configuration system based on information classifying was developed by using the theory of Rough Set to deal with uncertain customer demand.
本文研究模糊近似空间与模糊拓扑空间之间的关系、基于模糊覆盖的粗糙集模型与约简等问题。
This paper discusses the relationships between a fuzzy approximation space and a fuzzy topology space. The approximations and reduction in fuzzy covering-based rough sets are also studied.
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.
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