Integrating the Analytic Hierarchy Process with Large Language Models for Transparent Multi-Criteria Decision-Making
Summary
The paper proposes an end-to-end approach for Large Language Models to perform the Analytic Hierarchy Process workflow, improving transparency and alignment with expert judgments in multi-criteria decision-making tasks.
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# Integrating the Analytic Hierarchy Process with Large Language Models for Transparent Multi-Criteria Decision-Making Source: [https://arxiv.org/abs/2609.16779](https://arxiv.org/abs/2609.16779) [View PDF](https://arxiv.org/pdf/2609.16779) > Abstract:LLMs are increasingly employed in a wide range of decision\-making tasks\. However, the opacity of their internal reasoning makes it difficult to validate or interpret their outputs, and the need for interpretability becomes especially critical in high\-stakes settings\. This study examines the decision\-making capabilities of LLMs through the Analytic Hierarchy Process \(AHP\), a classical and widely used multicriteria decision\-making framework\. We construct a new annotated benchmark based on AHP and propose the first end\-to\-end approach that enables LLMs to perform the complete AHP workflow\. Experiments in real\-world decision problems in the legal and higher\-education ranking domains show that our method significantly improves alignment with expert judgments\. ## Submission history From: Pascale Zarate \[[view email](https://arxiv.org/show-email/cb41a79f/2609.16779)\] \[via CCSD proxy\] **\[v1\]**Tue, 15 Sep 2026 07:47:04 UTC \(241 KB\)
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