shangzhifa.zip_python 评估_熵值_熵值法_熵值法 python_评估

#Filename 熵值法.py data1=[1.0,2.0,3.0] data2=[4.0,5.0,6.0] zhibiao=[1,0,1] data=[data1,data2,zhibiao] def max(str):##最大值函数 n=len(str) i=0 temp=str[0] for i in range(1,n-1): if str[i]>temp: temp=str[i] return temp def min(str):##最小值函数 n=len(str) i=0 temp=str[0] for i in range(1,n-1): if str[i]<temp: temp=str[i] return temp def add(str):##累加函数 n=len(str) s=0 i=0 for i in range(0,n-1): s+=str[i] return s def chu(str):##除函数 n=len(str) i=0 for i in range(0,n-1): str[i]/=s return str def calculate(str): n=len(str) i=0 e=0 k=1/ln(len(data1)) for i in range(0,n-1): e+=str[i]*ln(str[i]) e=e*k return e for i in range(0,len(data)):##函数转置 for j in range (0,len(data1)): last[j][i]=data[i][j] for i in range(0,len(data1): if last[i][len(data)]=1: s=max(last[i]) for j in range(0,len(data)-1): last[i][j]/=s s=min(last[i]) for j in range(0,len(data)-1): last[i][j]/=s for i in range(0,len(data1): add(last[i]) chu(last[i]) for i in range(0,len(data1)): e[i]=calculate(last[i]) b[i]=1-e[i] for i in range (0,len(b)): s+=b[i] for i in range (0,len(b)): b[i]/=s b.sort(reverse=True) print b