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A multi-criteria approach for assigning weights in voting systems

Abstract

Following a new analytical orientation, this paper proposes an approach for investigating group versus individual trade-offs in general voting situations. From specific particularizations of a general family of p-norms, three social decision rules have been derived. These rules trigger three different systems of weights in the voting system. Once the three rules were obtained and the rationale underlying them justified, a compromise framework integrating all the rules was formulated. The compromise framework is computationally based on goal programming. In this way, it is possible to establish directly trade-offs and balance compromise solutions between the three social rules. Thus, not only is the weighted voting system formulated within a theoretically sound framework, but the applicability of the approach to real political situations is also more flexible and pragmatic.

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Acknowledgements

This study forms part of the Project “Gestión forestal en un contexto de uso múltiple y toma de decisiones colectivas” (AGL2015-68657-R) funded by the Ministry of Economy and Competitiveness of Spain. Besides, we have received funding from the European Union’s H2020 research and innovation program under the Marie Skłdowska-Curie Grant Agreement No. 691149 (SuFoRun). We appreciate the comments raised by the referees that have helped us in order to increase the clarity and accuracy of our work. Finally, thanks are due to Diana Badder for her editing of the English.

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Correspondence to Luis Diaz-Balteiro.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by V. Loia.

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González-Pachón, J., Diaz-Balteiro, L. & Romero, C. A multi-criteria approach for assigning weights in voting systems. Soft Comput 23, 8181–8186 (2019). https://doi.org/10.1007/s00500-018-3453-x

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  • DOI: https://doi.org/10.1007/s00500-018-3453-x

Keywords

  • Compromise
  • Goal programming
  • Weighted voting system
  • p-norms