Rough Sets Handling Missing Values Probabilistically Interpreted
Rough Sets Handling Missing Values Probabilistically Interpreted
复制标题
DOI：
10.1007/11548669_34
复制
发表时间：
2005-08
期刊：
影响因子：
--
通讯作者：
M. Nakata;H. Sakai
中科院分区：
文献类型：
--
作者：
M. Nakata;H. Sakai
我们研究的方法值公差关系的传统方法的基础上粗糙集的扩展，以处理不完整的信息。该方法可以处理概率解释的缺失值。我们提出了一个正确性准则的常规方法的扩展。然后，我们检查是否满足正确性准则的值公差关系的方法。因此，我们得出结论，该方法不满足正确性标准。因此，我们展示了如何修改值公差关系的方法，使正确性准则可以满足。
We examine methods of valued tolerance relations where the conventional methods based on rough sets are extended in order to handle incomplete information. The methods can deal with missing values probabilistically interpreted. We propose a correctness criterion to the extension of the conventional methods. And then we check whether or not the correctness criterion is satisfied in a method of valued tolerance relations. As a result, we conclude that the method does not satisfy the correctness criterion. Therefore, we show how to revise the method of valued tolerance relations so that the correctness criterion can be satisfied.