Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning

Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning

The support vector machine (SVM) has been combined with the intuitionistic fuzzy set to suppress the negative impact of noises and outliers in classification. However, it has some inherent defects, resulting in the inaccurate prior distribution estimation for datasets, especially the imbalanced data...

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Bibliographic Details
Main Authors: Cui Fu, Shuisheng Zhou, Dan Zhang, Li Chen
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
fuzzy support vector machine (FSVM)
class imbalance learning
intuitionistic fuzzy number (IFN)
relative density
Online Access:https://www.mdpi.com/1099-4300/25/1/34

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