Two Rough Approximations for Information Tables Containing Missing Values
Two Rough Approximations for Information Tables Containing Missing Values
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DOI：
10.1109/grc.2010.139
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发表时间：
2010-08
期刊：
影响因子：
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通讯作者：
M. Nakata;H. Sakai
中科院分区：
文献类型：
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作者：
M. Nakata;H. Sakai
提出了一种可能等价类的方法来处理缺失值。为了处理由于缺失值而产生的粗略近似的不精确性，使用了确定性和可能性的概念。当信息表中包含缺失值时，可以得到两个粗略的近似值，即确定的近似值和可能的近似值。实际的粗略近似值位于确定的和可能的粗略近似值之间。该方法给出的结果与可能世界的方法相同。这是对可能等价类方法的证明。
A method of possible equivalence classes was developed to deal with missing values. To deal with imprecision of rough approximations that comes from missing values, the concepts of certainty and possibility were used. When an information table contains the missing values, two rough approximations, certain and possible ones, are obtained. The actual rough approximation is located between the certain and possible rough approximations. The method gives the same results as a method of possible worlds. This is a justification of the method of possible equivalence classes.