The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
A fusion of rough set (RS) in soft computing method and analytical hierarchy process (AHP) is studied for the intellectualization of the decision-making of weapon system scheme.
致力于武器系统方案决策智能化，研究了智能软计算中的粗集方法(RS)与层次分析法(ahp)的融合问题。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
The attribute reduction is one of the cores of Rough Set (RS) theory.
属性约简是粗糙集(RS)理论的核心内容之一。
A method of object's performance classification based on Rough Set (RS) and Support Vector Machines (SVM) was proposed and it classifies the object's performance by composing the RS and SVM.
提出了一种基于粗糙集(RS)和支持向量机(SVM)的目标对象的性能分类方法，该方法将RS和SVM结合在一起对性能进行分类。
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。
This paper proposes a key frame extraction algorithm based on Rough Set(RS) in compressed domain.
提出一种基于粗糙集（RS）的压缩域关键帧提取算法。
This paper proposes a key frame extraction algorithm based on Rough Set(RS) in compressed domain.
提出一种基于粗糙集（RS）的压缩域关键帧提取算法。
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