[Urgent] Please I need : Measurement of alternatives and ranking according to COmpromise solution Code ?
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I need a code of Aggregation of rankings produced by different multi-criteria decision-making method.
I tried that code but no thing I dont have why it does not run:
% Variables
% CostperByte=1;
% Security=2;
% DataRate=3;
% PacketDelay=4;
% PacketJitter=5;
% PacketLoss=6;
%__________________
% UMTS1=1;
% UMTS2=2;
% WLAN1=3;
% WLAN2=4;
% WIMAX1=5;
% WIMAX2=6;
% LTE1=7;
% LTE2=8;
function Score = MARCOS(Networks,Weights)
global CostperByte;
global Security;
global DataRate;
global PacketDelay;
global PacketJitter;
global PacketLoss;
%NumberOfNetworks;
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
SIZE = size(W);
NumberOfNetworks = SIZE(1);
NumberOfCriteria = SIZE(2);
SAAI = sum( W(1,:));
SAI = sum( W(NumberOfNetworks,:));
for i=2:NumberOfNetworks-1
S(i,1) =sum( W(i,:));
end
SAAI = sum( W(1,:));
SAI = sum( W(NumberOfNetworks,:));
SIZE = size(S);
NumberOfNetworks = SIZE(2);
NumberOfCriteria = SIZE(1);
for i = 1: NumberOfNetworks
Kp(1,i) = S(i) / SAI;
Km(1,i) = S(i)/ SAAI;
end
for i=1:NumberOfNetworks
FKm(i) = Kp(i)/( Kp(i)+Km(i));
FKp(i) = Km(i)/( Kp(i)+Km(i));
end
FKm
for i=1:NumberOfNetworks
FK(i)= ( FKm(i) + (FKp(i)) ) / ( 1+ ( (1-FKp (i))/FKp(i) ) + ( (1-FKm(i))/FKm(i) ) ) ;
end
%%summation%%
Saw=[];
for i=1:NumberOfNetworks
Saw= [Saw ; FK(i) ];
end
Score= Saw;
end
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