A Characterization of Majority Rule for Hierarchies

The majority rule has been a popular method for producing a consensus classification from several different classifications, when the classifications are all on the same set of objects and are structured as hierarchies. In this note, a new axiomatic characterization is proved for this consensus meth...

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Veröffentlicht in:Journal of classification Jg. 25; H. 2; S. 153 - 158
Hauptverfasser: McMorris, Fred R., Powers, Robert C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer-Verlag 01.11.2008
Springer
Springer Nature B.V
Schlagworte:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Bioinformatics
Classification
Computer science; control theory; systems
Consensus methods
Exact sciences and technology
Hierarchies
Logic and foundations
Majority rule
Marketing
Mathematical logic, foundations, set theory
Mathematics
Mathematics and Statistics
Methods of scientific computing (including symbolic computation, algebraic computation)
Multivariate analysis
Numerical analysis. Scientific computation
Pattern Recognition
Probability and statistics
Psychometrics
Recursion theory
Sciences and techniques of general use
Signal,Image and Speech Processing
Statistical Theory and Methods
Statistics
Studies
Theoretical computing
Hierarchy
Majority rule
Consensus
Discriminant analysis
Data analysis
Multivariate analysis
Axiomatic
ISSN:0176-4268, 1432-1343
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:The majority rule has been a popular method for producing a consensus classification from several different classifications, when the classifications are all on the same set of objects and are structured as hierarchies. In this note, a new axiomatic characterization is proved for this consensus method on hierarchies.
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ISSN:0176-4268
1432-1343
DOI:10.1007/s00357-008-9012-x