Abstract

The Analytic Hierarchy Process (AHP), the multicriteria decisions making support methodology widely
recognized and accepted as the prioritization and choice theory may deliver different answers for a decisional
problem, providing various rankings of its alternative solutions. The variety in priorities order exists because
there are many methods that can be successfully implemented within the AHP, although its inventor, Thomas
Saaty strives to convince researchers that there is only one i.e. principal right eigenvector method (REV) created
alongside. Facts tell us however, that REV has some drawbacks and few flaws. The research described in this
paper reveals some important discoveries within this field due to application of novel scenario for computer
simulations concerning the entire AHP framework (contrary to single matrix simulation results). Statistically
significant findings convince that REV concedes other methods being under study what authorize to claim that
from the perspective of this research, as long as reciprocal pairwise comparison matrices are considered
(condition embedded in the AHP), it should not be perceived as the dominant method.

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