摘要
提出了带隶属度及权重的粗糙集模型。在这种模型中,给出带隶属度及权重的信息系统,进行噪音的处理。这种粗糙集的拓广模型克服经典粗糙集分类过于严格、对噪音过于敏感、某些隐藏在边界中的规则丢失等缺陷,并用算例验证了该模型是可行的。
A model of Rough Sets with the grade of membership and weight is presented. In the model, the information system with the grade of membership and weight is dissertated and the process of noise is researched. This expanding model of Rough Sets overcomes some deficiencies： the classification of traditional Rough Sets is too strict; the Rough Sets is excessively sensitive to the noises and some rules kept in boundary are lost. The model is feasible through the validation of an example.
出处
《石家庄铁路职业技术学院学报》
2006年第2期51-54,共4页
Journal of Shijiazhuang Institute of Railway Technology
关键词
粗糙集
模糊集
分类
rough sets fuzzy sets classification
