NAME
Vote::Count::Method::CondorcetDropping
VERSION 0.012
Condorcet Dropping Methods
This module implements dropping methodologies for resolving a Condorcet Matrix with no Winner. Dropping Methodologies apply a rule to either all remaining choices or to those with the least wins to select a choice for elimination.
Basic Dropping Methods
Common Dropping Methods are: Borda Count (with all the attendant weighting issues), Approval, Plurality Loser (TopCount), and Greatest Loss. Greatest Loss is not currently available, and will likely be implemented in the SSD module if and when that is ever written.
SYNOPSIS
BUG TRACKER
https://github.com/brainbuz/Vote-Count/issues
AUTHOR
John Karr (BRAINBUZ) brainbuz@cpan.org
CONTRIBUTORS
Copyright 2019 by John Karr (BRAINBUZ) brainbuz@cpan.org.
LICENSE
This module is released under the GNU Public License Version 3. See license file for details. For more information on this license visit http://fsf.org.