function [KnowledgeDataBase, totalmatrix, ranges, MFs] = Fuzzification (matrix, cluster_method, numinputs, numoutputs)

numvariables = numinputs+numoutputs;

maxnumrows = 0;

for i = 1: numvariables

rowssize(i) = unique(matrix(:,i),’rows’,’stable’);%pivot tables

if rowssize > maxnumrows

maxnumrows = rowssize(i);

end

end

if maxnumrows > 20

maxnumrows = round(sqrt(maxnurows,0));

end

for i = 1: numvariables

if rowssize(i) > maxnumrows

optimaly = round(sqrt(rowssize(i),0));

rowssize(i) = optimaly;

else

optimaly = rowssize(i);

end

if cluster_method == ‘Ward’

clustering = clusterdata(matrix(:,i),’linkage’,’ward’,optimaly);%here we apply clustering methods

else

clustering = kmeans(matrix(:,i),optimaly);

end

totalmatrix = [matrix clustering];

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

end

end