Classifying with uncertain data envelopment analysis

Classifications organize entities into categories that identify similarities within a category and discern dissimilarities among categories, and they powerfully classify information in support of analysis. We propose a new classification scheme premised on the reality of imperfect data. Our computat...

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Bibliographic Details
Main Authors: Casey Garner, Allen Holder
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:EURO Journal on Computational Optimization
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2192440624000078
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