A fuzzy rough set-based undersampling approach for imbalanced data

Zhang, Xiao; He, Zhaoqian; Yang, Yanyan

doi:10.1007/s13042-023-02064-5

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2024

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Cited by 3 publications

References 31 publications

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Triangular Fuzzy Number Intuitionistic Fuzzy Covering Rough Sets and Applications to Decision Making

Bai,

Chen,

Zhang

2024

Rough Sets

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Triangular Fuzzy Number Intuitionistic Fuzzy Covering Rough Sets and Applications to Decision Making

Bai,

Chen,

Zhang

2024

Rough Sets

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FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy

Zhang,

Liu,

et al. 2024

IEEE Trans. Fuzzy Syst.

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Neurocomputing Advancements to Unlock Image Intelligence for Industrial Computer Vision

Saha,

Lilhore,

Simaiya

2024

Advances in Computational Intelligence and Robotics

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Distinct technologies have been formulated at different times to improve technology, and unique technologies are continuously emerging. Neurocomputing has significantly expanded technologies, revealed moderately acceptable results, and provided ultimate collaboration. It is a type of computational system that executes its functions by mimicking the workings methodology of the human brain. Neurocomputing utilizes artificial neural networks managed by interconnected nodes, which collectively perform miscellaneous tasks. Each node processes small portions of information and communicates it to the next node, which assembles an extensive network and cracks many complex problems. This functional capability of neurocomputing can provide fruitful solutions for any complex task related to computer vision, enabling the computer system to extract meaningful information from images effortlessly. The functional benefit of neurocomputing, whereas manifold applications and computer vision components are determined to yield unthinkable results using images in the industrial sector.

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A fuzzy rough set-based undersampling approach for imbalanced data

Cited by 3 publications

References 31 publications

Triangular Fuzzy Number Intuitionistic Fuzzy Covering Rough Sets and Applications to Decision Making

Triangular Fuzzy Number Intuitionistic Fuzzy Covering Rough Sets and Applications to Decision Making

FGRBC: A Novel Fuzzy Granular Rule-Based Classifier Using the Justifiable Granularity Principle and a Fusion Strategy

Neurocomputing Advancements to Unlock Image Intelligence for Industrial Computer Vision

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