(完整版)灰色关联度分析MATLAB程序.doc

x(1,:)=[830.19112.97.289.40.4326.33];
x(2,:)=[750.18911.69.182.30.4535.87];
x(3,:)=[640.16511.910.369.30.5126.31];%列出各数值，可修改
x(4,:)=[630.16512.89.768.20.4556.6];
x(5,:)=[560.21113.212.677.50.3177.12];
m=5;n=7;

x0=[830.21113.27.289.40.3175.87];%参考序列

fori=1:n
avg(i)=0;%均值初始化
end

fori=1:m
forj=1:n
avg(j)=avg(j)+x(i,j);
end
end%求均值序列

fori=1:n
avg(i)=avg(i)/m;
end

forj=1:m
fori=1:n
x(j,i)=x(j,i)/avg(i);%均值化
end
end

fori=1:n
x0(i)=x0(i)/avg(i);%参考序列均值化
end

forj=1:m
fori=1:n
delta(j,i)=abs(x(j,i)-x0(i));%求序列差
end
end

max=delta(1,1);
forj=1:m
fori=1:n
ifdelta(j,i)>max
max=delta(j,i);
end
end
end
%求两极差
min=0;

forj=1:m
xgd(j)=0;
fori=1:n
glxs(j,i)=0.5*max/(0.5*max+delta(j,i));%计算关联系数及相关度
xgd(j)=xgd(j)+glxs(j,i);
end
xgd(j)=xgd(j)/n;
end
xgd
%因此，A—E区与参考序列（最佳指标）的相关度分别为0.84890.69830.55880.58580.7105