Data-driven modeling with fuzzy sets and manifolds

DOI10.1016/j.ijar.2022.07.009OpenAlexW4289260314MaRDI QIDQ2169224

Irina Perfilieva

Publication date: 2 September 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2022.07.009

zbMATH Keywords

inverse problemRiemannian manifoldfuzzy partitiondata-driven modeling

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Granular fuzzy models: analysis, design, and evaluation
• Towards a theoretical foundation for Laplacian-based manifold methods
• \({\mathcal T}\)-partitions
• On the relationship among \(F\)-transform, fuzzy rough set and fuzzy topology
• Fuzzy transforms: theory and applications
• The Classification of 1-Manifolds: A Take-Home Exam
• Introduction to Riemannian Manifolds
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• The Laplace-Beltrami Operator: A Ubiquitous Tool for Image and Shape Processing

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