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Pairwise comparison based ranking and scoring algorithms

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  • Hamster, Ulf A.

    (Berlin-Brandenburgischen Akademie der Wissenschaften)

Abstract

The task is to convert a large sparse matrix of unbalanced paired comparison vote counts to scores for each item. Five procedures are presented and benchmarked. It is recommended to use the BTL algorithm for full batch computations (e.g. one-time quantitative studies), and the proposed p-value based procedure when scores must be partially updated in production deployments.

Suggested Citation

  • Hamster, Ulf A., 2021. "Pairwise comparison based ranking and scoring algorithms," OSF Preprints ev7fw, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:ev7fw
    DOI: 10.31219/osf.io/ev7fw
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    References listed on IDEAS

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    1. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
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