Applying Rough Sets to Data Tables Containing Missing Values
Applying Rough Sets to Data Tables Containing Missing Values
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DOI：
10.1007/978-3-540-73451-2_20
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发表时间：
2007-06
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
粗糙集应用于包含缺失值的数据表。同时考虑缺失值与另一个值之间的可区分性和不可区分性。得到一个可能等价类族，其中每个等价类都有可能是实等价类。利用可能等价类族，我们可以得到下近似和上近似，即使这些近似不是用以前的方法得到的，而且这些下近似和上近似与用可能世界方法得到的结果是一致的。
Rough sets are applied to data tables containing missing values. Discernibility and indiscernibility between a missing value and another value are considered simultaneously. A family of possible equivalence classes is obtained, in which each equivalence class has the possibility that it is an actual one. By using the family of possible equivalence classes, we can derive lower and upper approximations, even if the approximations are not obtained by previous methods.Furthermore, the lower and upper approximations coincide with those obtained from methods of possible worlds.