The support vector machine based on intuitionistic fuzzy number and kernel function

DOI10.1007/s00500-012-0937-yzbMath1264.68127OpenAlexW2068756725MaRDI QIDQ1955460

Chao Wang, Jiqiang Chen, Ming-Hu Ha

Publication date: 11 June 2013

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

Full work available at URL: https://doi.org/10.1007/s00500-012-0937-y

zbMATH Keywords

kernel functionsupport vector machinescore functioninstitutionistic fuzzy umber

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (8)

Intuitionistic fuzzy Laplacian twin support vector machine for semi-supervised classification ⋮ Possibilistic classification by support vector networks ⋮ Bipolar fuzzy based least squares twin bounded support vector machine ⋮ A new branch-and-bound approach to semi-supervised support vector machine ⋮ A SMOTE-based quadratic surface support vector machine for imbalanced classification with mislabeled information ⋮ Privacy preserving and fast decision for novelty detection using support vector data description ⋮ An intuitionistic fuzzy set based \(S^3\)VM model for binary classification with mislabeled information ⋮ A new support vector machine based on type-2 fuzzy samples

Uses Software

• LIBSVM

Cites Work

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• Coalitional game with fuzzy payoffs and credibilistic core
• On characterization of credibilistic equilibria of fuzzy-payoff two-player zero-sum game
• Intuitionistic fuzzy sets
• A Novel Technique for Subpixel Image Classification Based on Support Vector Machine
• Fuzzy sets

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