Explainable AI and Fuzzy Linguistic Interpretation for Enhanced Transparency in Public Procurement: Analyzing EU Tender Awards

Explainable AI and Fuzzy Linguistic Interpretation for Enhanced Transparency in Public Procurement: Analyzing EU Tender Awards

Despite the ideal of a unified Single Market, a powerful “home bias” pervades EU public procurement, hinting at unseen barriers that conventional analysis fails to capture. This study introduces an interpretable AI framework to investigate these dynamics, pairing a LightGBM model with SHapley Additi...

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Bibliographic Details
Main Authors: Cosmin Cernăzanu-Glăvan, Andrei-Ștefan Bulzan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
public procurement
Explainable AI (XAI)
SHAP
fuzzy linguistic interpretation
smart governance
Tenders Electronic Daily (TED)
Online Access:https://www.mdpi.com/2227-7390/13/13/2215
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