灰色關聯度分析

灰?關聯分析法步驟（python代碼實現）

importpandasaspd

importnumpyasnp

#x=ame([[2000,0.732,0.836,0.628,0.743],[2001,0.758,0.883,0.688,0.787],[2002,0.859,0.914,0.781,0.929],[2003,1.0125,1.0440,1.0237,0.984

7],[2004,1.2356,1.1069,1.2833,1.2363],[2005,1.4013,1.2152,1.5405,1.3182]])

#x=_excel('D:')

csv_file="D:"

csv_data=_csv(csv_file,low_memory=Fal)#防?彈出警告

x=ame(csv_data)

x=[:,1:].T

#1、數據均值化處理

x_mean=(axis=1)

foriinrange():

[i,:]=[i,:]/x_mean[i]

#[i,:]=[i,:]/x_mean[i]

#2、提取參考隊列和?較隊列

ck=[0,:]

cp=[1:,:]

#?較隊列與參考隊列相減

t=ame()

forjinrange():

temp=([j,:]-ck)

t=(temp,ignore_index=True)

#求最?差和最?差

mmax=().max().max()

mmin=().min().min()

rho=0.5

#3、求關聯系數

ksi=((mmin+rho*mmax)/(abs(t)+rho*mmax))

#4、求關聯度

r=(axis=1)/

#5、關聯度排序，得到結果r3>r2>r1

result=_values(ascending=Fal)

print(result)