Distributed Multi-Voting: Difference between revisions
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[[File:DMV procedure.jpg|thumb|DMV procedure]] |
[[File:DMV procedure.jpg|thumb|DMV procedure]] |
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Each voter has 100 points to distribute among the candidates according to his preferences. All candidates in the vote have 0 points by default. |
Each voter has 100 points to distribute among the candidates according to his preferences. All candidates in the vote have 0 points by default. |
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# For each single vote, get the normalized votes on all subsets |
# For each single vote, get the normalized votes on all subsets containing at least 2 candidates. Add up the points for each candidate of the normalized votes, obtaining the converted original vote. |
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# After obtaining all the converted original votes, the candidate with the lowest sum, of the converted votes, loses. |
# After obtaining all the converted original votes, the candidate with the lowest sum, of the converted votes, loses. |
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# Eliminate the loser from all the original votes, and setting the candidate with the lowest score in each vote to 0. Repeat the whole process from the beginning, leaving as many winner as you like. |
# Eliminate the loser from all the original votes, and setting the candidate with the lowest score in each vote to 0. Repeat the whole process from the beginning, leaving as many winner as you like. |
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* set the candidate (s) with the lowest score between A,B,C to 0. |
* set the candidate (s) with the lowest score between A,B,C to 0. |
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* apply the following formula on the other candidates: |
* apply the following formula on the other candidates: |
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S = sum of |
S = sum of points of the candidates in the subset. |
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v0 = value of candidate X, before normalization |
v0 = value of candidate X, before normalization |
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v1 = value of candidate X, after normalization. |
v1 = value of candidate X, after normalization. |
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<math>\begin{equation} |
<math>\begin{equation} |
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v1=\frac{v0}{S} \cdot 100 |
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\end{equation}</math> |
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In normalization for the % of victory, use the same formula without setting the candidate with the lowest score to 0. |
In normalization for the % of victory, use the same formula without setting the candidate with the lowest score to 0. |