My matlab code give me bad results please help me about MARCOS algorithm

I followed all the steps of the `MARCOS` (: Measurement of alternatives and ranking according to Compromise

solution) algorithm. I tried it and I follow the algorithm but always the code gave me the same restulats. Please help me... everything is okay the problem is `FKm` and `FKp`, always give the same values.

For example, lets try the alternatives are:

Networks =

8    50     4   134    12    67
66    74     1    50    42    75
42    60    49   285     5    68
47    60    45    68     6    63
8    50     4   145    17    61
61    83     1    44    11    63
48    60    59   288     4    75
45    60    21    95     4    33

and the weights:

weights=   0.0360    0.1240    0.1040    0.3250    0.3070    0.1020

```

function Score =  MARCOS(Networks,Weights)
global CostperByte;
global Security;
global DataRate;
global PacketDelay;
global PacketJitter;
global PacketLoss;
%NumberOfNetworks;
CostperByte=1;
Security=2;
DataRate=3;
PacketDelay=4;
PacketJitter=5;
PacketLoss=6;


SIZE = size(Networks); 
NumberOfNetworks = SIZE(1);
NumberOfCriteria = SIZE(2);


AAI=zeros(1,NumberOfCriteria); 
AI= zeros(1,NumberOfCriteria);

 for j=1:NumberOfCriteria
    if ( (j==DataRate)  || (j==Security) ) % benifit 
        AAI(1,j)= min (Networks(:,j));
        AI(1,j)=max (Networks(:,j));
    else
        AAI(1,j)=max (Networks(:,j));
        AI(1,j)=min(Networks(:,j));
        
    end
 end





Networks= [ AAI ; Networks ; AI];
SIZE = size(Networks); 
NumberOfNetworks = SIZE(1);
NumberOfCriteria = SIZE(2);

Normalization=[];

 for i=1:NumberOfNetworks
    for j=1:NumberOfCriteria
     if ( (j==DataRate)  || (j==Security) )      %%%%%%% data rate, security, bandwidth
        Normalization(i,j) = ( Networks (i,j)) / AI(1,j)  ;

        
     else                                                            %%%%%%% jitter, delay,st, 
        Normalization(i,j) = AI(1,j) / ( Networks (i,j));

     end
  end
 end






for i=1: NumberOfNetworks
  for j=1:  NumberOfCriteria
        W(i,j)=Normalization(i,j)*Weights(j);
  end
end



Saai= sum(W(1,:)); 
Sai= sum(W(NumberOfNetworks,:)) ;


W=W(2:NumberOfNetworks-1,:);
SIZE = size(W ); 
NumberOfNetworks = SIZE(1);
NumberOfCriteria = SIZE(2);
  


for i=1:NumberOfNetworks
    S(i) =sum( W(i,:)); 
end





for i = 1: NumberOfNetworks
Km(i) = S(i)/ Saai;

    Kp(i) = S(i) / Sai;
end





for i=1:NumberOfNetworks
FKm(i) = Kp(i)/( Kp(i)+Km(i));
FKm(i)
FKp(i) = Km(i)/( Kp(i)+Km(i));

end 


for i=1:NumberOfNetworks
FK(i)= ( FKm(i) + (FKp(i)) ) /  (  1+ (   (1-FKp (i))/FKp(i)    ) + (    (1-FKm(i))/FKm(i)   )      ) ; 
end 


%%summation%%
Results=[]; 


for i=1:NumberOfNetworks 
   Results= [Results; FK(i)  ];   
end


Score= Results;
end```

**Tried the code above

**

Answer 1

[sunday ogundoyin]

You may consider checking the formular:

FK(i)= ( FKm(i) + (FKp(i)) ) / ( 1+ ( (1-FKp (i))/FKp(i) ) + ( (1-FKm(i))/FKm(i) ) ) ;

Instead write:

FK(i)= ( Km(i) + (Kp(i)) ) / ( 1+ ( (1-FKp (i))/FKp(i) ) + ( (1-FKm(i))/FKm(i) ) ) ;

Regards