Approaches to consistency adjustment
Journal of Optimization Theory and Applications
Remarks on the analytic hierarchy process
Management Science
A clarification of “remarks on the analytic hierarchy process”
Management Science
Management Science
The Analytic Hierarchy Process--An Exposition
Operations Research
A common framework for deriving preference values from pairwise comparison matrices
Computers and Operations Research
Combining different prioritization methods in the analytic hierarchy process synthesis
Computers and Operations Research
Enumerating all spanning trees for pairwise comparisons
Computers and Operations Research
A linear programming approximation to the eigenvector method in the analytic hierarchy process
Information Sciences: an International Journal
Membership maximization prioritization methods for fuzzy analytic hierarchy process
Fuzzy Optimization and Decision Making
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In the analytic hierarchy process, prioritization of the reciprocal matrix is a core issue to influence the final decision choice. Various prioritization methods have been proposed, but none of prioritization methods performs better than others in every inconsistent case. To address the prioritation operator selection problem, this paper proposes the analytic hierarchy prioritization process, which is an objective hierarchy model (without using subjective pairwise comparisons) to approximate the real priority vectors with selection of the most appropriate prioritization operator among the various prioritization candidates, for a reciprocal matrix, and on the basis of a list of measurement criteria. Nine important prioritization operators and seven measurement criteria are illustrated in AHPP. Two previous applications are revised and illustrate the validity and usability of the proposed model. The results show that the most appropriate prioritization operator is dependent of the content of the reciprocal matrix and AHPP is an appropriate method to address the prioritization problem to make better decisions.