含属性加权模糊序决策信息系统的近似约简

徐伟华, 孔子默, 陈曜琦

Approximate reduction of fuzzy ordered decision information system with attribute weighting

Weihua Xu, Zimo Kong, Yaoqi Chen

表6 在SVM与KNN下所得下近似约简的分类精度

Table 6 Classification accuracy of upper approximate reduction under SVM and KNN

数据集	SVM	KNN
平均	$87.51 % \pm 2.97 %$	$73.01 % \pm 4.45 %$
Caesarian Section Classification Dataset	$74.60 % \pm 5.47 %$	$43.75 % \pm 7.46 %$
iris	$74.17 % \pm 4.68 %$	$63.33 % \pm 4.37 %$
wine	$91.43 % \pm 3.62 %$	$65.71 % \pm 4.73 %$
Connectionist Bench	$88.79 % \pm 4.38 %$	$69.52 % \pm 6.24 %$
seed	$99.04 % \pm 1.49 %$	$85.71 % \pm 2.84 %$
Blood Transfusion Service Center	$78.92 % \pm 5.37 %$	$77.33 % \pm 5.22 %$
audit_risk	$95.81 % \pm 1.74 %$	$87.82 % \pm 2.68 %$
banknote authentication	$97.35 % \pm 1.37 %$	$90.91 % \pm 2.03 %$