There were 5 criteria and 6 alternatives, and then there were 5
principal vectors, all of which had 6 elements. Once the matrices in
each level were completed, the relative importance of the elements
in that level was given by the principal right eigenvector of the matrix
of judgments. The number of eigenvectors (that is, local priority
vectors) was therefore equal to the number of criteria. The
results quantified the decision-maker’s preference for each alternative
and provided a means for answering the ‘type-of-management’
question.