function [ranges,knowledgeDataBase,MFs] = knowledgeDB (maxnumrows,matrix,clustering,i)

calculate maximum from clustering;

for j = 1: maximum

k = find(clustering == j);

aA = matrix(k);

calculate min from aA; %this value is representing the value of b in the MF.

calculate max from aA; %this value is representing the value of c in the MF.

end

if min from aA == max from aA

MF(i) = ‘trimf’;

calculate the point_a. Point_c is the same value of max from aA or min from aA.

else

MF(i) = ‘trapmf’;

calculate the point_a and point_d for the Membership function.

end

knowledgeDataBase = [point_a Min(aA) Max(aA) point_d];

ranges = [min(aA) max(aA)];

MFs = MF;

end

end