熵权法topsismatlab代码

熵权法topsismatlab代码如下所示：

clearvars clc
format short
format compact

X = 0.5*log(abs(100*(rand(300,4))));
sqrt(abs(100*(rand(300,4)))); 

Variable = {'X1','X2','X3','X4','权重之和'}';

[Wj2,T1,T2_sort,Ej = ShangTopsis(X,Variable);

function [Wj2,T1,T2_sort,Ej = ShangTopsis(X,Variable)
    [m,n = size(X);
    X_PO = (X-min(X))./range(X);    X_NE = (max(X)-X)./range(X);
    % 熵法计算各指标的权重
    P = X_PO./sum(X_PO);
    E = sum(P.*log(P));
    W = (1-E)./(n-E);
    Wj = W./sum(W);
    % TOPSIS法计算综合评价指标
    A = X_PO.*repmat(Wj',m,1);
    B = X_NE.*repmat(Wj',m,1);
    T1 = sqrt(sum(A.^2,2));
    T2 = sqrt(sum(B.^2,2));
    R = T2./(T1+T2);
    [~,T2_sort = sort(R,'descend');
    % 计算综合评价指标的效益值
    Ej = T2./sum(T2);
    Wj2 = Wj';
end

这段代码实现了熵权法TOPSIS算法，包括了数据正向化和负向化、计算各指标的权重、计算综合评价指标以及计算综合评价指标的效益值。<span class="em">1</span><span class="em">2</span><span class="em">3</span>