An improved approach for ranking the candidates in a voting system based on efficiency intervals

This paper proposes improvements and revisions to a recent approach in a voting system, and providesan eective approach with a stronger discriminate power. for this purpose, the advantage of alinear transformation is utilized to redene a previously used concept of virtual worst candidate, byincorporating the existing weight restrictions. then, the best score of this virtual candidate is used asa lower bound for the scores of the candidates in the models. it is shown that the proposed approachovercomes some drawbacks in the existing models. the approach determines interval eciencies whichcan be used in ranking the candidates. numerical examples illustrate some advantages of the proposedapproach.