AI RESEARCH
Endogenous Aggregation of Multiple Data Envelopment Analysis Scores for Large Data Sets
arXiv CS.LG
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ArXi:2510.20052v2 Announce Type: replace-cross We propose an approach for dynamic efficiency evaluation across multiple organizational dimensions using data envelopment analysis (DEA). The method generates both dimension-specific and aggregate efficiency scores, incorporates desirable and undesirable outputs, and is suitable for large-scale problem settings. Two regularized DEA models are