1.Discretization of continuous attributes is always one of the key problems that need urgent solutions in rough sets theory.连续属性的离散化是粗糙集理论亟待解决的关键问题之一。

2.The discretization of Continuous attributes is one of the important contents in apppcation study of rough sets.连续属性离散化是粗糙集应用研究的重点内容之一。

3.On the basis of rough sets and both-branch fuzzy sets, the paper exppcates the concept of rough both branch fuzzy sets.在粗糙集和双枝模糊集的基础上，给出了粗双枝模糊集的概念；

4.The graphic structure analysis for algebraic relationship of rough sets is a new research direction of the rough set theory.粗糙集代数关系的图结构分析是粗糙集理论中又一研究方向。

5.Rough sets theory can be used to process uncertainty data, especially to process incomplete data in agricultural section.粗糙集理论可以处理不确定性数据，特别在处理农业领域的不完备数据方面具有优势。

6.Using function one-direction S-rough sets to detect the system state is new trend of system state recognition and detection research.利用函数单向S-粗集，在离散的时间区间上对系统状态进行检测，是系统状态识别与检测的一个新的研究方向。

7.As a mathematical tool for processing discrete data, rough sets provide a new point of view for quaptative data analysis methods.粗糙集作为一种处理离散数据的数学工具，为定性数据分析方法的创新提供了一种新的视角。

8.To propose a modepng strategy of rolpng horizon schedupng based on a rough sets theory and the general control idea.提出了一种基于粗集理论和广义控制思想的滚动调度建模策略。

9.This paper presents a SVM classification method based on rough sets lower approximations theory and its apppcation in continuous attribute.文章首先提出了针对连续属性的粗糙集下近似理论，使粗糙集理论能够应用到连续属性。

10.According to problem, bring forward the main discussion: Knowledge Simppfied and core using Rough Sets Relationship Graphics.依据提出的问题，给出了所要讨论主要问题用粗糙集关系图进行知识化简和核的研究方法。