Sensitivitas Keputusan Terhadap Nilai Eigenvector Dengan Pendekatan Weight Product Model

Analytic Hierarchical Process (AHP) is a widely used method for determining the
priority decision is plural, because it is able to process data with a lot of good data criteria are
qualitative, quantitative, or a combination of both. Changes to the value of the decision that is
strong or weak against the decisions that have been treated empirically. Thus the global
decisions that have been in the synthesis can be amended, if the partial decision experiencing
weak sensitivity. Therefore, to prove that local decisions each value tested pairwise matrix of
values normalized eigenvector results do not necessarily provide perfect power, it can be seen if
the process is carried out sensitivity tests of each eigenvector value of the partial decision. The
sensitivity of the test results will give the amount of value judgment which has the value of a
certain range of the limit value of the minimum sensitivity and sensitivity maximum value that
can affect the priority value of the global decisions synthesis results