统一集中的近似集理论 关键词] 统一集,近似集,粗糙集,粗糙近似推理 [gap=648]Keywords] All Set,Approximation Set,Rough Set,Rough Approximation Reasoning
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the low approximation set 下近似集
the upper approximation set 上近似集
Set Approximation 集合近似
Rough set approximation 粗糙集近似
The main contents include the approximation set, decision systems, data preprocessing and attribute reduction and so on. It is a effective method of dealing with incomplete, inaccurate data.
其主要内容包括近似集、决策系统、数据预处理以及属性约简等等，是一种处理不完整，不精确数据的有效方法。
And, if we set these things equal, what we get is actually, we are replacing the function by its linear approximation.
如果把这两个看做等价的，实际上，就是用函数的线性近似式来代替原函数。
Instead, consider how you can best retrieve a set of objects that can constitute a good approximation of the set of data that an operator must use for the next several minutes.
相反，考虑如何最好的得到一系列对象的集合，用来创建一个好的数据集合代理，处理一些在后来几分钟内一定会处理的对象。
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