Ranking of candidates in the preferential voting framework based on a new approach

In ranked voting systems, each voter selects a subset of candidates and ranks them from most to least preferred. The preference score obtained by each candidate is the weighted sum of votes receives in different places. The main drawback of this approach is that it assumes there is no preference among voters. In this paper we first attempt to analyze and show some drawbacks of this approach. Then, we propose a new method in which voters are classified into several categories based on their priorities that the vote of a higher category may have a greater importance than that of the lower category.

Data envelopment analysis, Ranked voting data, Preference Score, Ranking.