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Preference Integration and Optimization of Multistage Weighted Voting System Based on Ordinal Preference

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  • Yu-ke Chen
  • Yan Zou
  • Zhe Chen

Abstract

Multistage voting is a common voting form through which the winners are selected. By virtue of weighted multistage voting rules, in this paper, we establish a weighted voting model by analyzing the correlation between individual preference and group preference. The weights of voters in each voting stage are adjusted through preference deviation degrees between individual preferences and group preference, and the ranking among candidates in each stage is determined according to weighted Borda function value. Examples are given to verify our model, which shows that weighted information aggregation model can mine more useful information from different individual preferences of voters to quicken the aggregation of group preference.

Suggested Citation

  • Yu-ke Chen & Yan Zou & Zhe Chen, 2014. "Preference Integration and Optimization of Multistage Weighted Voting System Based on Ordinal Preference," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-6, May.
    • Handle: RePEc:hin:jnlaaa:186545
    DOI: 10.1155/2014/186545
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    Cited by:

    1. Liu, Qiang, 2021. "Reliability evaluation of two-stage evidence classification system considering preference and error," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    2. Liu, Qiang & Zhang, Hailin, 2022. "Reliability evaluation of weighted voting system based on D–S evidence theory," Reliability Engineering and System Safety, Elsevier, vol. 217(C).

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