FAIR-V: Difference between revisions

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[[File:FAIR-V Procedure.svg|500px350px|thumb|right|FAIR-V Procedure]]
[[File:FAIR-Max Procedure.svg|350px|thumb|right]]
First-Approval Instant-Runoff Voting (FAIR-V) is a [[Single Member system|Single-Winner]] [[Cardinal voting systems]] proposed by [[User:Aldo Tragni|Aldo Tragni]].
 
The objectives of this voting system is the balance between simplicity, resistance to strategies, and elect the utilitarian winner.
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The above elimination is repeated until only one candidate is left, who is the winner.
 
 
''Note: worst candidates for a voter are those (among the remaining) with the lowest rating in his ballot.''
 
''The original idea was [[FAIR-V#FAIR-Max|FAIR-Max]], which was then simplified to FAIR-V.''
 
===Normalization===
 
Bullet Min Norm (B-Min Norm): set -1 the minimum value of the ballot to normalize, and the others all to 0.
 
The actual FAIR-V algorithm uses thethis B-Min Normnorm and eliminateeliminates the candidate with the lowest point sum.
 
B-MinThis Norm, and also FAIR-V,norm is applicable also to ranges with more than 4 ratings.
 
===Name derivation===
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First-Approval Instant-Runoff Voting:
 
* "First-Approval": the vote is initially treated as a multiple-choice. However, if all the worst candidates are eliminated in a vote, then the initial multiple-choice is reduced and can become a single-choice, during the count. It's like a single-choice (refer to [[FPTP|'''F'''PTP]]) masked at the beginning by multiple-choice (refer to [[Approval AV|'''A'''pproval voting]]).
* "First": refers to the [[FPTP]] in which the voter chooses the best candidate to win. In FAIR-V the first choices are such, as long as there are "bad" candidates. After the "bad" candidates have all been eliminated from a ballot, then only the "good" ones are treated as the first choice.
* "ApprovalInstant-Runoff": refers to the fact that, theby voter'seliminating firstone choicescandidate canat bea moretime, thanonly 1two will remain at the end, asobtaining the "Instant-Runoff" (comparison of the top intwo AVcandidates).
* "Instant-Runoff": refers to the fact that, by eliminating one candidate at a time, only two will remain at the end, obtaining the "Instant-Runoff" (comparison of the top two candidates head-to-head).
 
FAIR-nV'''n'''V: the FAIR-V norm works with ranges of different sizes and n indicates the number of ratings used in the range, minus 1.
 
*FAIR-1V: it's equivalent to [[Approval AV|AV]], with ratings in [0,1].
*FAIR-V: is the default definition, with ratings in [0,3].
*FAIR-5V: uses ratings in [0,5].
*FAIR-9V: uses ratings in [0,9].
 
==FAIR-Max==
 
It's FAIR-V, with range [0,3], in which:
 
* the elimination ends when 2 candidates remain (finalists).
* in each vote, if 1 of the 2 finalists has obtained rating 0, then his opponent receives rating 3.
* the finalist with the highest sum of ratings is the winner.
 
 
''FAIR-Max resists maximization strategies (like FAIR-V), elect the utilitarian winner (much more than FAIR-V), but it's more complicated to explain (than FAIR-V).''
 
''FAIR-S: by removing step 2 from the list, the method resists a little less to maximization strategy, but becomes simpler and remains utilitarian.''
 
===mdM norm (min-do-Max norm)===
 
Given a range vote, with 2 candidates:
 
* if one of the two candidates has the minimum rating of the range, then his opponent receives the maximum rating of the range ''(no changes are made if both or none have a minimum rating)''.
 
===Mdm norm (Max-do-min norm)===
 
Given a range vote, with 2 candidates:
 
* if one of the two candidates has the maximum rating of the range, then his opponent receives the minimum rating of the range ''(no changes are made if both or none have a maximum rating)''.
 
===mM-do-Mm norm===
 
Apply both mdM and Mdm norms.
 
==Strategies resistance==
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* decreasing rating of the candidate X in one vote doesn't change the chance of victory for candidates rated below the new rating of X.
 
These properties mean that in FAIR-V a voter cannot favor a candidate more than the worst ones, by increasing his rating (avoid the strategy of maximization but not the one of minimization).
 
Example, given this honest vote:
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