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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.