A possibilistic approach to latent component analysis for symmetric fuzzy data
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Publication:1770730
DOI10.1016/j.fss.2004.03.024zbMath1058.62050OpenAlexW2020822647MaRDI QIDQ1770730
Pierpaolo D'Urso, Paolo E. Giordani
Publication date: 7 April 2005
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2004.03.024
Factor analysis and principal components; correspondence analysis (62H25) Theory of fuzzy sets, etc. (03E72) Applications of statistics to psychology (62P15)
Related Items (9)
Three-way analysis of imprecise data ⋮ Two- and three-way component models for lr fuzzy data in a possibilistic framework ⋮ Fuzzy data analysis and classification. Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic ⋮ Principal components of sample estimates: an approach through symbolic data analysis ⋮ A weighted fuzzy \(C\)-means clustering model for fuzzy data ⋮ Component models for fuzzy data ⋮ The fuzzy approach to statistical analysis ⋮ Dual models for possibilistic regression analysis ⋮ A comparison of three methods for principal component analysis of fuzzy interval data
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