Median constrained bucket order rank aggregation

Antonio D’Ambrosio (), Carmela Iorio (), Michele Staiano () and Roberta Siciliano ()
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Antonio D’Ambrosio: University of Naples Federico II
Carmela Iorio: University of Naples Federico II
Michele Staiano: University of Naples Federico II
Roberta Siciliano: University of Naples Federico II

Computational Statistics, 2019, vol. 34, issue 2, No 17, 787-802

Abstract: Abstract The rank aggregation problem can be summarized as the problem of aggregating individual preferences expressed by a set of judges to obtain a ranking that represents the best synthesis of their choices. Several approaches for handling this problem have been proposed and are generally linked with either axiomatic frameworks or alternative strategies. In this paper, we present a new definition of median ranking and frame it within the Kemeny’s axiomatic framework. Moreover, we show the usefulness of our approach in a practical case about triage prioritization.

Keywords: Tied rankings; Median ranking; Kemeny distance; Triage prioritization (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s00180-018-0858-z

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