S 2 FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems

IEEE Transactions on Neural Networks and Learning Systems 2026

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Authors: Suping Xu, Chuyi Dai, Yujie Liu, Lin Shang, Xibei Yang, Witold Pedrycz
DOI: 10.1109/tnnls.2026.3679684
Cited by: 2

Abstract

FS consistently outperforms ten state-of-the-art feature selection algorithms in both classification accuracy and clustering performance, while feature visualizations further confirm the interpretability of the selected features.

Fields of Study & Subjects

Constraint Satisfaction and Optimization Fuzzy Logic and Control Systems Multi-Criteria Decision Making

Publication details

Journal / source
IEEE Transactions on Neural Networks and Learning Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
PP
Pages
1–15
Publication date
1 January 2026
Language
EN