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Machine Learning Model for Sparse PCM Completion

In this paper, we propose a machine learning model for sparse pairwise comparison matrices (PCMs), combining classical PCM approaches with graph-based learning techniques. Numerical results are provided to demonstrate the effectiveness and scalability of the proposed method.

preprint2026arXivOpen access
Selcuk KoyuncuRonak NouriStephen Providence
math.OCMachine Learning
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Open access3 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Selcuk KoyuncuRonak NouriStephen Providence

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