Possibilistic classification by support vector networks

DOI10.1016/j.neunet.2022.02.007OpenAlexW4211065200MaRDI QIDQ6072500

Yu-De Chen, Jung-Hsien Chiang, Pei-Yi Hao

Publication date: 13 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2022.02.007

zbMATH Keywords

fuzzy set theorysupport vector machines (SVMs)possibility measurefuzzy classifier

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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• The concept of a linguistic variable and its application to approximate reasoning. I
• Support-vector networks
• The support vector machine based on intuitionistic fuzzy number and kernel function
• Dependent-chance programming in fuzzy environments
• Centered kernel alignment inspired fuzzy support vector machine
• Support vector classification with fuzzy hyperplane
• Approximations of the critical region of the fbietkan statistic
• Linear Regression Analysis with Fuzzy Model
• 10.1162/jmlr.2003.3.4-5.993
• Fuzzy classifier based on fuzzy support vector machine

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