Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems

Research article (Knowledge-Based Systems, 2024) · cited 25× · AI/ML
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Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems

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Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/embedded-feature-selection-approach-based-on-tsk-fuzzy-system-with-sparse-rule-base-for-high-dimensional-classification-
MLA “Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/embedded-feature-selection-approach-based-on-tsk-fuzzy-system-with-sparse-rule-base-for-high-dimensional-classification-.
BibTeX @misc{4ortxyz_embedded-feature-selection-approach-based-on-tsk-fuzzy-system-with-sparse-rule-base-for-high-dimensional-classification-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Embedded feature selection approach based on TSK fuzzy system with sparse rule base for high-dimensional classification problems}}, year = {2026}, url = {https://4ort.xyz/entity/embedded-feature-selection-approach-based-on-tsk-fuzzy-system-with-sparse-rule-base-for-high-dimensional-classification-}, note = {Accessed: 2026-05-24}}
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