A selection method for a preferential election

A. A. Foroughi; D. F. Jones; M. Tamiz

doi:10.1016/j.amc.2003.10.055

A selection method for a preferential election

A. A. Foroughi^*, D. F. Jones, M. Tamiz

^*Corresponding author for this work

School of Mathematics & Physics

University of Qom

Research output: Contribution to journal › Article › peer-review

Abstract

This paper deals with a recently proposed method for a ranked voting system. It is based on a data envelopment analysis model. It is shown that the number of problems to be solved and the number of constraints in the model can be decreased. In addition, the winner can be selected with a fewer efforts and in some cases without solving any problems. The obtained results also illustrate the importance of selecting a proper norm in the model.

Original language	English
Pages (from-to)	107-116
Number of pages	10
Journal	Applied Mathematics and Computation
Volume	163
Issue number	1
DOIs	https://doi.org/10.1016/j.amc.2003.10.055
Publication status	Published - 5 Apr 2005

Keywords

Data envelopment analysis
Efficiency
Voting

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10.1016/j.amc.2003.10.055

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title = "A selection method for a preferential election",

abstract = "This paper deals with a recently proposed method for a ranked voting system. It is based on a data envelopment analysis model. It is shown that the number of problems to be solved and the number of constraints in the model can be decreased. In addition, the winner can be selected with a fewer efforts and in some cases without solving any problems. The obtained results also illustrate the importance of selecting a proper norm in the model.",

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AB - This paper deals with a recently proposed method for a ranked voting system. It is based on a data envelopment analysis model. It is shown that the number of problems to be solved and the number of constraints in the model can be decreased. In addition, the winner can be selected with a fewer efforts and in some cases without solving any problems. The obtained results also illustrate the importance of selecting a proper norm in the model.

KW - Data envelopment analysis

KW - Efficiency

KW - Voting

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A selection method for a preferential election

Abstract

Keywords

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