Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers

DOI10.1007/s00500-018-3265-zOpenAlexW2805302109WikidataQ129740289 ScholiaQ129740289MaRDI QIDQ2318544

Maaruf Ali, Achraf Jabeur Telmoudi, Moêz Soltani, Lotfi Chaouech, Abdelkader Chaari

Publication date: 15 August 2019

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-018-3265-z

zbMATH Keywords

identificationcredibility functionkernel approachtype-2 fuzzy systemsnoise clusteringfuzzy c-regression model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Fuzziness, and linear inference and regression (62J86) Multivariate analysis and fuzziness (62H86)

Related Items (5)

Generalized linear mixed model with Bayesian rank likelihood ⋮ Variable structure T-S fuzzy model and its application in maneuvering target tracking ⋮ Quadrilateral interval type-2 fuzzy regression analysis for data outlier detection ⋮ Optimal type-2 fuzzy synchronization of two different fractional-order chaotic systems with variable orders with an application to secure communication ⋮ Arcsine laws for random walks generated from random permutations with applications to genomics

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• Correlation based model validity tests for non-linear models
• Nonlinear model validation using correlation tests

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