Data envelopment analysis approach for discriminating efficient candidates in voting systems by considering the priority of voters

Year 2016, Volume: 45 Issue: 1, 165 - 180, 01.02.2016

Ali Ebrahimnejad Mohammad Reza Bagherzadeh

Abstract

There are different ways to allow the voters to express their preferences on a set of candidates. In the traditional voting systems, it is
assumed that the votes of all voters have the same importance and
there is no preference between them. In this paper, a new approach
is proposed to express the preference of voters on a set of candidates.
In the proposed approach voters are classified into several categories
with different importance levels in which the vote of a higher category
may have a greater importance than that of the lower category. Then
two models are introduced to measure the best preference scores of the
target candidate from the virtual best candidate and the virtual worst
candidate point of view. After that, two obtained preference scores are
aggregated together in order to obtain an overall ranking. Finally, two
numerical examples are provided for illustration the applications of the
proposed approach. 

Keywords

Data envelopment analysis, Voting system, Preference score, Virtual candidate

References

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