I have 5 arrays (A,B,C,D,E) of size(20x1). 20 Rows represents 20 models. I want to rank best model based on minimise (A,B), maximise (C,D,E). Any hint will be helpful.

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A,B,C,D,E
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Avijit Paul
Avijit Paul 2023-5-4
So accoding to problem statement best (-7 -5 1 3 9). I think, we can rank [ (2 1); (1 2); (1 1); (2 1);(1 2)] . And add the ranks to get final value. Then sort the final value to get the ranking. This can be possible solution. For this case (7 7). Solution is all with equal importance . This can be one way thinking. Thats why I was asking for any help.

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Mathieu NOE
Mathieu NOE 2023-5-4
maybe this ?
AB= rand(20,2);
CDE=rand(20,3);
ABinv = 1./AB; % minimum(A,B) replaced by maximum of it's inverse
ABinvCDE_max = max([ABinv CDE],[],2); % find max (rank) along direction 2
[val_sorted,rk] = sort(ABinvCDE_max);% rank = rk

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