Multivariate analysis using 'and' and 'or'
type: Item
instance of: scholarly article
title: Multivariate analysis using 'and' and 'or'
zbMATH Open document ID: 0562.62052
DOI: 10.1016/0165-4896(84)90021-0
published in: Mathematical Social Sciences
publication date: 1984-01-01T00:00:00Z
review text: Extensions from binary to continuous variables are considered of mathematical operators for connectives (''and'', ''or'', ''exclusive or'', etc). Using concepts from fuzzy set theory it is illustrated how such extensions can be used in statistical modelling of interactions in multivariate analysis.
Mathematics Subject Classification ID: 62H99
Mathematics Subject Classification ID: 62H05
Mathematics Subject Classification ID: 03E72
zbMATH DE Number: 3896119
zbMATH Keywords: least-squares techniques
zbMATH Keywords: regression
zbMATH Keywords: multiple-connective models
zbMATH Keywords: cell- specific interpretations
zbMATH Keywords: single-connective models
zbMATH Keywords: ANOVA
zbMATH Keywords: Extensions from binary to continuous variables
zbMATH Keywords: statistical modelling of interactions
author: Michael Smithson
MaRDI profile type: Publication
full work available at URL: 0165-4896(84)90021-0
OpenAlex ID: W2002476552
cites work: Q4161300
cites work: Q5621283
cites work: L-fuzzy sets
cites work: Q3860641
cites work: Q4403648
cites work: On the suitability of minimum and product operators for the intersection of fuzzy sets
cites work: On a general class of fuzzy connectives
cites work: Fuzzy sets
cites work: Latent connectives in human decision making
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description: scientific article; zbMATH DE number 3896119