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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 186545, 6 pages
Research Article

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

1School of Economics and Management, Chongqing Normal University, Chongqing 401331, China
2Business School, Sichuan University, Chengdu 610064, China

Received 21 March 2014; Accepted 13 May 2014; Published 28 May 2014

Academic Editor: Chong Li

Copyright © 2014 Yu-ke Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.