model: sets: dmu/1..7/:lambda; !决策单元; inw/1..4/:s1; !投入变量集; outw/1..4/:s2; !产出变量集; inv(inw, dmu):x; !投入数据; outv(outw, dmu):y; !产出数据; endsets data: n=?; !所评价的决策单元; x= 349.3313 0.63114 5.59091 6.30942 3.84352 0.50472 37.86518 !AZ; 1620.7 1.2335 17.19304 25.30626 251.4798 44.21377 117.4841 !CA; 75.48889 0.06826 1.51314 6.75239 1.04937 0.08122 40.8765 !NM; 1169.069 1.27549 15.62031 9.99996 9.71338 80.82566 57.3492; !TX; !消耗*价格; y= 19110.63 34.52749 305.8581 14526.70504576 3843.5218771 2188.06567 89941.053949 !AZ; 80799.65 61.49606 857.1551 39765.719738 251479.771641 70912.239599 279059.7185637 4030.339 3.64439 80.78612 16038.926614 1049.366891 1043.89315 97093.81923952 65780.31 71.76835 878.9118 22339.449732 9713.3800554 121621.9387228 146673.1547010; enddata min=theta; @for(inw(i):@sum(dmu(j)|j#ne#n:lambda(j)*x(i,j))+s1(i)=theta*x(i,n)); !输入约束; @for(outw(i):@sum(dmu(j)|j#ne#n:lambda(j)*y(i,j))-s2(i)=y(i,n)); !输出约束; a = @sum(dmu(j):lambda(j))/theta; !规模有效性; end
原文地址:https://www.cnblogs.com/douzujun/p/8443566.html
时间: 2024-10-16 23:16:57