灰色关联模型matlab代码

下面是一个简单的灰色关联模型的Matlab代码示例：

clc;
clear;

% 读取数据
data = xlsread('算例1.xlsx');

% 数据标准化
data1 = mapminmax(data', 0.002, 1); % 标准化到0.002-1区间
data1 = data1';

% 绘制x1,x4,x5,x6,x7的折线图
figure(1)
t = [2007:2013];
plot(t, data1(:, 1), 'Color', 'r', 'LineWidth', 1.5)
hold on
for i = 1:4
    plot(t, data1(:, 3*i), '--', 'LineWidth', 1.2)
    hold on
end
xlabel('年份')
legend('x1', 'x4', 'x5', 'x6', 'x7')
title('灰色关联分析')

% 计算灰色相关系数
% 得到其他列和参考列相等的绝对值
for i = 4:7
    data1(:, i) = abs(data1(:, i) - data1(:, 1));
end

% 得到绝对值矩阵的全局最大值和最小值
data2 = data1(:, 4:7);
d_max = max(max(data2));
d_min = min(min(data2));

% 灰色关联矩阵
a = 0.5; % 分辨系数
data3 = (d_min + a*d_max) ./ (data2 + a*d_max);
xishu = mean(data3);

disp('x4,x5,x6,x7与x1之间的灰色关联度分别为：')
disp(xishu)

请注意，这只是一个简单的示例代码，具体使用时，你需要根据你的数据和需求进行适当的修改和调整。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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