变精度思想下的模糊粗糙集模型

Fuzzy-rough Set Model under the Idea of Variable Precision

将Ziarko的集合变精度包含思想引入模糊粗糙集模型中,使用!-精度集结算子生成变精度模糊粗糙集,用于大型数据库的模糊数据分析。改进后的模型对噪声数据具有一定的容错能力,从而增强了其在实际问题处理中的鲁棒性及适应新情况和知识预测的能力。

In this paper,Ziarko＇s idea of variable precision inclusion is introduced in the fuzzy-rough set model.We use β-precision aggregation operators to produce variable precision fuzzy-rough set,which is then used to the fuzzy data analysis of large databases.The developed model has certain tolerance to the noisy data,so its robustness of dealing with practical problems has been enhanced.Furthermore ,the ability of adapting new situations as well as knowledge forecasting has also been improved.