Two- and three-way component models for lr fuzzy data in a possibilistic framework
type: Item
instance of: scholarly article
title: Two- and three-way component models for lr fuzzy data in a possibilistic framework
zbMATH Open document ID: 1099.62057
published in: Fuzzy Sets and Systems
publication date: 2006-11-15T00:00:00Z
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62J99
zbMATH DE Number: 5073310
zbMATH Keywords: two- and three-way fuzzy data sets
zbMATH Keywords: principal component analysis
zbMATH Keywords: tucker3
zbMATH Keywords: CANDECOMP/PARFAC
zbMATH Keywords: possibilistic approach
author: Paolo Giordani
MaRDI profile type: Publication
full work available at URL: j.fss.2004.12.012
OpenAlex ID: W1992009829
cites work: Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young'' decomposition
cites work: Three-way fuzzy clustering models for LR fuzzy time trajectories
cites work: Component models for fuzzy data
cites work: A possibilistic approach to latent component analysis for symmetric fuzzy data
cites work: Conditional possibilities independence and noninteraction
cites work: Principal component analysis of symmetric fuzzy data
DOI: 10.1016/J.FSS.2004.12.012
description: scientific article; zbMATH DE number 5073310