Note on some revelations in prioritization, theory of choice and decision making support methodology

摘要: Providing unique answers for any multicriteria decision making support methodology seems to be a crucial issue not only from the perspective of its creditability but also entire concept validity. However, it is known that analytic hierarchy process (AHP), as prioritization and choice theory, can provide different priority vectors, depending on method applied during realization process. It fact we are being convinced very long time one approach in this matter no other qualifies (principal right eigenvector method). finds itself have serious drawbacks some flaws. This paper reveals fundamental discoveries within field thanks seminal computer simulations AHP framework (as opposed single matrix simulation research). The result concurs with opinion reciprocal pairwise comparison matrices concerned (what embedded process) when could (nonreciprocal cases) able due lack inconsistency measure, which an indispensable element concept.   Key words: Decisions methodology, process, principal eigenvector, vector, constrained optimization.