A Methodological Framework for Business Decisions with Explainable AI and the Analytic Hierarchical Process

This record corresponds to the accepted manuscript (post-print) of the following journal article:

"A Methodological Framework for Business Decisions with Explainable AI and the Analytic Hierarchical Process"

This article presents a methodological framework for strategic business decision-making that integrates Explainable Artificial Intelligence (XAI), Fuzzy C-means clustering, and the Analytic Hierarchy Process (AHP). The approach combines customer segmentation with interpretable machine learning models to support transparent and data-driven decisions in complex B2B environments. By prioritizing decision criteria within each segment, the framework enables the alignment of operational actions with organizational objectives.

The final published version is available at the publisher’s website:
https://doi.org/10.3390/pr13010102

This deposit is made for open access and dissemination purposes, in accordance with the publisher’s self-archiving policy.