A novel interval-valued fuzzy multiple twin support vector machine

DOI10.22111/IJFS.2021.5916zbMath1458.68215OpenAlexW3129210215MaRDI QIDQ5858330

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Publication date: 12 April 2021

Full work available at URL: https://ijfs.usb.ac.ir/article_5916_89c804e32addc8cb3029d83adf7ae8a1.pdf

zbMATH Keywords

multi-class classification problem``one-versus-rest structureinterval-valued fuzzy membership degreemultiple twin support vector machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Support-vector networks
• Improving support vector data description using local density degree
• Fuzzy Twin Support Vector Machines for Pattern Classification
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
• Fuzzy sets

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