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Last Updated: 10/28/2021
in Additional Information The Math of AHP -- Computing priorities from pairwise comparisons Eigenvector computation Priorities for the elements in a cluster are derived from the relative pairwise comparisons by normalizing the principle right eigenvector of the matrix co...
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Last Updated: 02/16/2022
in Synthesize After structuring the model and collecting judgments, use the Synthesis Results menu to analyze the results. Synthesize automatically combines qualitative judgments with quantitative data, if available. Qualitative judgments are based on the kno...
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Last Updated: 03/29/2022
in Define Model is the first step in the decision process where we "structure" a decision model by identifying objectives, alternatives, and participants, and assigning roles to participants for providing judgments or data. After structuring the hierarchy of ob...
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Last Updated: 07/01/2024
in Release Notes
June 01, 2024 | Version 6.18.1 Summary of Changes: In this release, we are excited to introduce you to the following new functionalities: Color Settings Abstain Judgments Model Wording Resource Aligner Portfolio Canvas Contribu...
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Last Updated: 03/30/2022
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Last Updated: 10/28/2021
in Additional Information Originally, AHP was based on three relatively simple axioms. The first axiom, the reciprocal axiom , requires that, if PC(EA,EB) is a paired comparison of elements A and B with respect to their parent, element C, representing how many times more t...
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The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since t...