Two- and three-way component models for lr fuzzy data in a possibilistic framework

DOI10.1016/j.fss.2004.12.012zbMath1099.62057OpenAlexW1992009829MaRDI QIDQ853435

Paolo E. Giordani

Publication date: 15 November 2006

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2004.12.012

zbMATH Keywords

principal component analysispossibilistic approachtucker3CANDECOMP/PARFACtwo- and three-way fuzzy data sets

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Linear inference, regression (62J99)

Related Items

Three-way analysis of imprecise data ⋮ Maximum likelihood estimation from fuzzy data using the EM algorithm

Cites Work

• Three-way fuzzy clustering models for LR fuzzy time trajectories
• Principal component analysis of symmetric fuzzy data
• Conditional possibilities independence and noninteraction
• A possibilistic approach to latent component analysis for symmetric fuzzy data
• Component models for fuzzy data
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition