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
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ISSN:0176-4268, 1432-1343
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Abstract 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.
AbstractList 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.
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. Adapted from the source document.
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. (PUBLICATION ABSTRACT)
Author McMorris, Fred R.
Powers, Robert C.
Author_xml – sequence: 1
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  fullname: McMorris, Fred R.
  email: mcmorris@iit.edu
  organization: Department of Applied Mathematics, Illinois Institute of Technology
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  givenname: Robert C.
  surname: Powers
  fullname: Powers, Robert C.
  organization: Department of Mathematics, University of Louisville
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crossref_primary_10_1007_s00357_018_9295_5
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Cites_doi 10.1016/0165-4896(90)90077-K
10.1007/BF01894194
10.1016/0165-4896(83)90099-9
10.1137/1.9780898717501
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Issue 2
Keywords Hierarchy
Majority rule
Consensus
Discriminant analysis
Data analysis
Multivariate analysis
Axiomatic
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References MONJARDET (CR7) 1990; 20
MARGUSH, McMORRIS (CR4) 1981; 42
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BARTHELEMY, McMORRIS (CR2) 1986; 3
DAY, McMORRIS (CR3) 2003
McMORRIS, NEUMANN (CR5) 1983; 4
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AMENTA, CLARKE, ST. JOHN, Benson, Page (CR1) 2003
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J.P. BARTHELEMY (9012_CR2) 1986; 3
W.H.E. DAY (9012_CR3) 2003
T. MARGUSH (9012_CR4) 1981; 42
F.R. McMORRIS (9012_CR5) 1983; 4
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B. MONJARDET (9012_CR7) 1990; 20
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  article-title: A Linear-time Majority Tree Algorithm
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– volume: 42
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– ident: 9012_CR9
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– start-page: 216
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SubjectTerms 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
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