洗衣粉去污功效研究论文思路.doc

洗衣粉去污功效研究的思路去污效能的综合函数指标F设Ai表示第i种主成分的特征向量，则有：A=A1;A2;A3;A4； A1=0.16,0.2,0.25,0.25,0.24,0.15,0.24,0.24,0.25,0.27,0.26,0.27 0.29,0.29,0.14,0.16,0.26,0.23； A2=0.37,-0.23,-0.23,0.24,0.3,0.37,-0.26,-0.26,0.25,0.17,0.19,0.19 -0.12,-0.14,-0.14,-0.18,-0.19,-0.24； A3=0.1, -0.36,-0.31,0.14,0.04,-0.1,-0.24,-0.15,0.14,-0.16,-0.18 -0.1,0.09,0.06,0.49,0.51,0.11,0.23； A4=0.25,0.33,0.15,0.12,0.06,0.35,0.15,0.12,0.02,-0.25,-0.32 -0.27,-0.1,-0.09,0.53,-0.2,-0.04,-0.26。设W表示去污功效标准化矩阵（数据见附件），即：，n=1,2,18；m=1,2,86其中amn表示第m种产品对第n种污渍的去污功效标准值。设Fi表示第i种主成分的不同产品的标准值矩阵，则有：，i=1,2,3,4设第i种主成分的贡献率为，则有：，i=1,2,3,4设第m种产品的去污效能的综合函数指标为Fm，令F为不同产品的去污效能的综合函数指标矩阵，则有：，i=1,2,4终上所述，可得去污效能的综合评定值一般模型为：产品溶液属性综合指标Q：设Bk表示第k种属性的特征向量，则有：B=B1;B2;B3;B4;B5; B1=0.23,-0.09,-0.09,0.14,0.1,0.15,0.18,0.21,0.22,0.18,0.24,0.25 0.13,0.26,0.26,0.24,0.25,0.28,0.24,0.31,0.3; B2=-0.18,0.44,-0.18,0.51,0.53,0.1,0.03,0.23,0.020,-0.05 0.05,0.040.05,0.1,-0.17,-0.18,-0.13,-0.18,0,-0.04; B3=-0.09,0.13,0.1,0.05,0.07,-0.25,-0.21,-0.26,-0.32,0.52,0.07,0.060.59,0.06,0.01,0.14,0.03,0,0.11,-0.08,-0.12; B4=-0.03,-0.26,0.65,0.2,0.26,0.32,0.25,-0.01,-0.02,0.01,-0.28,-0.230.11,-0.13,-0.1,0.18,-0.13,0.03,0.16,-0.02,0.04; B5=-0.07,0.33,-0.35,-0.11,-0.13,0.38,-0.2,0.05,0.1,0.01,-0.3,0.04 0.08,-0.34,-0.23,0.38,-0.09,0.11,0.32,0.02,0.03。设G表示产品溶液属性标准化矩阵（数据见附件），即：其中amj表示第m种产品对第j种溶液属性的标准值。设Qk表示第k种主成分的不同产品的标准值矩阵，则有：，k=1,2,3,4,5设第k种主成分的贡献率为，则有：，k=1,2,5设第m种产品溶液属性的综合函数指标为Qm，令Q为不同产品的溶液属性的综合函数指标矩阵，则有：，k=1,2,5终上所述，可得溶液属性的综合评定值一般模型为：运行程序：clc;clear;w=xlsread(属性特征向量.xls,sheet1,F2:Z87);w1=w;notanumber=isnan(w);u0=all(notanumber);w=w(u0,:);%特征向量B1=0.23 -0.09-0.090.14 0.1 0.15 0.18 0.210.22 0.18 0.24 0.25 0.13 0.26 0.26 0.24 0.25 0.280.240.31 0.3;%特征向量B2=-0.180.44 -0.180.51 0.53 0.1 0.03 0.23 0.020-0.050.05 0.040.05 0.1-0.17-0.18-0.13-0.180-0.04;%特征向量B3=-0.090.13 0.1 0.05 0.07 -0.25-0.21-0.26-0.320.52 0.07 0.060.59 0.06 0.010.14 0.0300.11 -0.08-0.12;%特征向量B4=-0.03-0.260.65 0.2 0.260.32 0.25 -0.01-0.020.01 -0.28-0.230.11 -0.13-0.1 0.18 -0.130.03 0.16 -0.020.04;%特征向量B5=-0.070.33 -0.35-0.11-0.130.38 -0.20.05 0.10.01 -0.30.04 0.08 -0.34-0.230.38 -0.090.11 0.320.02 0.03;B=B1;B2;B3;B4;B5;enta=42.596,11.784,9.253,6.673,6.528*0.01;F=w*B*enta;notanumber=isnan(w1);F=w1*B*enta;notanumber=isnan(F);F(find(notanumber=0)=0clear;clcw=xlsread(效能主成分分析.xls,sheet1,J2:AA87);%特征向量A1=0.502 0.614 0.774 0.774 0.741 0.481 0.76 0.752 0.782 0.842 0.803 0.838 0.913 0.906 0.435 0.509 0.805 0.73;%特征向量A2=0.757 -0.46 -0.457 0.495 0.599 0.745 -0.529 -0.518 0.508 0.343 0.38 0.386 -0.251 -0.284 -0.284 -0.362 -0.379 -0.484;%特征向量A3=0.103 -0.387 -0.335 0.152 0.043 -0.103 -0.255 -0.16 0.152 -0.176 -0.191 -0.104 0.093 0.067 0.529 0.552 0.114 0.248;%特征向量A4=0.251 0.332 0.149 0.126 0.061 0.