ELECTRE-I法 matlab代码

以下是一个简单的ELECTRE-I方法的Matlab代码示例：

% 输入决策矩阵
D = [3, 4, 2; 5, 2, 1; 2, 3, 4; 4, 5, 3];

% 标准化决策矩阵
[n, m] = size(D);
D_norm = zeros(n, m);
for j = 1:m
    D_norm(:,j) = D(:,j) / sum(D(:,j));
end

% 计算加权和矩阵
w = [0.4, 0.3, 0.3];
S = D_norm * w';

% 计算决策矩阵中每个元素与其他元素的差异值
D_diff = zeros(n, n);
for i = 1:n
    for j = 1:n
        D_diff(i,j) = sum(abs(D_norm(i,:) - D_norm(j,:)));
    end
end

% 计算正负流逝矩阵
p = 0.6; % 正流逝的权重
q = 0.4; % 负流逝的权重
C = zeros(n, n);
for i = 1:n
    for j = 1:n
        if S(i) >= S(j)
            C(i,j) = p * (D_diff(i,j) / max(max(D_diff))) + q * (D_diff(j,i) / max(max(D_diff)));
        else
            C(i,j) = q * (D_diff(i,j) / max(max(D_diff))) + p * (D_diff(j,i) / max(max(D_diff)));
        end
    end
end

% 计算最终排序结果
sorted_indices = zeros(n,1);
for i = 1:n
    [~, sorted_indices(i)] = min(C(i,:));
end

sorted_indices

这段代码实现了ELECTRE-I方法的主要步骤，包括决策矩阵的标准化、加权和矩阵的计算、元素差异值的计算、正负流逝矩阵的计算以及最终的排序结果。你可以根据实际情况进行修改和调整。希望对你有所帮助！如果有任何问题，请随时提问。