Statistical benchmarking of voting theory methods

Aleksandras  Krylovas; Natalja  Kosareva

doi:10.15388/LMR.B.2016.07

Articles

Aleksandras Krylovas

Vilniaus Gedimino technikos universitetas

Natalja Kosareva

Vilniaus Gedimino technikos universitetas

Published 2016-12-20

https://doi.org/10.15388/LMR.B.2016.07

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Keywords

voting theory methods
Monte Carlo experiments
Kemeny median

How to Cite

Krylovas, A. and Kosareva, N. (2016) “Statistical benchmarking of voting theory methods”, Lietuvos matematikos rinkinys, 57(B), pp. 37–42. doi:10.15388/LMR.B.2016.07.

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Abstract

In the article 8 candidates sorting algorithms were compared by Monte Carlo experiments. 6 of them are constructed on the basis of voting theory and 2 – on the basis of Kemeny median. The largest number of correct decisions averages and the least average number of unfinished voting procedures were shown by the median-based sorting algorithms.

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