本文针对传统的离散化技术所造成的信息丢失问题，提出了利用直觉模糊粗糙集合理论来进行属性约简的方法。
The technology of attribute reduction based on the intuitionistic fuzzy rough set theory is described as to the problem of information loss in the process of discretization.
而且把模糊综合评价引入BP网络结构评价，为约简bp网络结构提供评判标准。
Fuzzy Multi-Factorial evaluation is used in BP Network reduction structure evaluation, which offers a criterion for BP Network structure.
把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。
The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.
在粗糙集理论及粗糙模糊集理论中，上下近似及边界的求解与决策表属性约简是它们的核心内容。
In the rough set theory and rough-fuzzy set theory, computation of approximations and edge and attributes reduction of decision table is import part of them.
提出了一种基于模糊决策属性依赖度的属性相对约简算法。
A kind of attribute relative reduction for fuzzy decision attribute dependent degree is proposed.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
给出基于模糊信任测度和模糊似然测度的随机模糊信息系统知识约简的方法。
The knowledge reduction method based on fuzzy belief measures and fuzzy plausibility measures are introduced.
结合模糊关系的理论，对粗糙集理论的属性约简算法进行研究，提出了一个新的属性约简算法，并给出了一个应用实例。
This paper discussed the attribute reduction in rough set combined fuzzy relation theory, and then proposed a new attribute reduction algorithm and gave an illustrative example.
第二部分利用变精度概念格研究不同精度下的模糊概念格约简。
Secondly, we studies the reduction of a fuzzy concept lattice in a fuzzy context by employing the variable precision concept under various precisions.
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.
粗糙集理论是一种新型的处理模糊和不确定知识的数学工具，它能在保持信息系统分类能力不变的前提下，有效地进行知识约简；
Rough sets theory is a new mathematical tool to deal with vagueness and uncertain, which can remove redundant information and seek for reduced decision tables effectively.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
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