粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
First we compare rough sets and random sets, and derive the relationship between belief function and lower probability.
首先将粗糙集与随机集作了比较，并由此得出了信任函数与下概率的关系。
By comparing rough sets and random sets, we derive the relation between belief function and lower probability.
使用粗糙集和证据合成理论中的方法，给出了获取概率信息系统的扩展决策规则集的一般方法。
Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.
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.
然后根据粗糙集理论判断各个构件对机械臂总体可靠性的影响，对概率信息进行约简；
Then, Rough sets (RS) theory is applied to reduce the unimportant and unnecessary reliability information which influenced the overall system dynamic reliability assessment.
然后根据粗糙集理论判断各个构件对机械臂总体可靠性的影响，对概率信息进行约简；
Then, Rough sets (RS) theory is applied to reduce the unimportant and unnecessary reliability information which influenced the overall system dynamic reliability assessment.
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