A data envelopment model for aggregating preference rankings
Management Science
A procedure for ranking efficient units in data envelopment analysis
Management Science
The appropriate total ranking method using DEA for multiple categorized purposes
Journal of Computational and Applied Mathematics - Special issue: Papers presented at the 1st Sino--Japan optimization meeting, 26-28 October 2000, Hong Kong, China
Discriminating DEA efficient candidates by considering their least relative total scores
Journal of Computational and Applied Mathematics
Ranking of units on the DEA frontier with common weights
Computers and Operations Research
A solution method to the problem proposed by Wang in voting systems
Journal of Computational and Applied Mathematics
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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.