Modeling the Decision-Making Process Using AI within the AHP Framework

Abstract

In this study, we explored the possibility of modeling human decision-making processes using AI based on the framework of the Analytic Hierarchy Process (AHP). Specifically, we focused on the grading of essay assignments and analyzed the structure of evaluation criteria from the grading results using tools such as GPT-4o. As a result of applying three methods―thematic method, holistic method, and comparative method―for selecting evaluation criteria, it was revealed that the thematic method was the most effective. Furthermore, by introducing regression analysis into the construction of the evaluation criteria, we demonstrated that the grading process could be reproduced with high accuracy. In the future, we aim for the social implementation of AI-based decision support systems through further case analyses.