A new monotonic, clone-independent, reversal symmetric, and condorcet-consistent single-winner election method

By Markus Schulze. 2011

304 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research, Game & Decision Theory

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Citations in the corpus

Contextual Dueling Bandits (2015, methodology): “Both the Borda and the Copeland method fail the independence of clones criterion (Schulze, 2011), meaning that adding multiple identical copies of an action can change the Borda or Copeland winner.”
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (2020, methodology): “The RVC creates an aggregate rank for methods based on their rank per dataset on 7 pre-defined evaluation datasets [78].”
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability (2021, background): “(2015), these notions fail the independence of clones criterion (Schulze, 2011), which makes them somewhat undesirable in contextual settings.”
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (2022, methodology): “The RVC creates an aggregate rank for methods based on their rank per dataset on 7 pre-defined evaluation datasets [78].”
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching (2021, methodology): “The overall rank is obtained by Schulze Proportional Ranking [25] to joining multiple rankings into one.”
Electoral Systems Used around the World (2016, methodology): “Another Condorcet method known as the Schulze method [79] involves ﬁnding preference paths between candidates and comparing them based on the so-called “strength” of the paths.”
Copeland Dueling Bandits (2015, background): “The non-existence of the Condorcet winner has been investigated extensively in social choice theory, where numerous definitions have been proposed, without a clear contender for the most suitable resolution [9].”