2023年immc际数学建模大赛a题,apmcm亚太地区数学建模挑战赛介绍

以及相应的质量保证措施等方面分析并提出相应的建议。

模型的建立与求解整体论文缩略图

全部论文及程序请见下方“ 只会建模 QQ名片” 点击QQ名片即可 程序代码 部分程序如下:

clc,clearytload(shuju.txt); % Raw data is stored as a column vector in a plain text filenlength(yt); alpha  0.8;st1(1)yt(1); st2(1)st1(1);st3(1)st2(1); % Selection weighting factorfor i2:n st1(i)alpha*yt(i)(1-alpha)*st1(i-1); st2(i)alpha*st1(i)(1-alpha)*st2(i-1); st3(i)alpha*st2(i)(1-alpha)*st3(i-1);endxlswrite(fadian1.xls,[st1,st2,st3]) % Write the data to the first two columns in the form Sheet1at3*st1-3*st2st3;btalpha/(2*(1-alpha))*((6-5*alpha)*st1-2*(5-4*alpha)*st2(4-3*alpha)*st3); % Seeking modelctalpha*alpha/(2*(1-alpha)*(1-alpha))*(st1-2*st2st3);yhatatbtct; % The last component is the predicted value for the next month.xlswrite(fadian1.xls,yhat,Sheet1,C2)% Write the predicted value to column 2str[C,int2str(n2)];% Prepare to write a string of predicted position values for the next yearxlswrite(fadian1.xls,at(n)2*bt(n)4*ct(n),Sheet1,str)% Write the next months forecast to the appropriate location

clc,clear fidfopen(txt3.txt,r); n18;n24; a[]; for i1:n1 tmpstr2num(fgetl(fid)); a[a;tmp]; % Reading criteria layer judgment matrixendfor i1:n1 str1char([b,int2str(i),[];]); str2char([b,int2str(i),[b,int2str(i),;tmp];]); eval(str1); for j1:n2 tmpstr2num(fgetl(fid)); eval(str2); % Reading matrixendendri[0,0,0.58,0.90,1.12,1.24,1.32,1.41,1.45]; % Consistency indicator[x,y]eig(a); lamdamax(diag(y)); numfind(diag(y)lamda); w0x(:,num)/sum(x(:,num)); cr0(lamda-n1)/(n1-1)/ri(n1) for i1:n1[x,y]eig(eval(char([b,int2str(i)]))); lamdamax(diag(y)); numfind(diag(y)lamda); w1(:,i)x(:,num)/sum(x(:,num)); cr1(i)(lamda-n2)/(n2-1)/ri(n2); endcr1, tsw1*w0, crcr1*w0 

全部论文及程序请见下方“ 只会建模 QQ名片” 点击QQ名片即可