不完备信息系统中一种基于概率相似度的粗糙拓展模型

Extended rough set model based on probability similarity in incomplete information system

以不完备信息系统为研究对象,在容差关系的基础上提出了一种带有阈值的基于概率相似度的概率容差关系.新模型考虑了属性取值的概率,通过阈值的设置可以控制分类精度,优化分类决策.实例分析验证了新模型的可行性和优越性.

In this paper, an extended rough set with a parameter in incomplete informa- tion system is proposed, which is called probability tolerance relation model based on probability similarity. The probability of the value of attributes is taken into account in this new model. Also this new model can classify data more precisely and improve the classification decision making by setting the parameter properly. At last an example is given to demonstrate the feasibility and the advantage of the new model.