Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets

• Published in: IEEE transactions on fuzzy systems Vol. 29; no. 1; pp. 19 - 33
• Main Authors: Sun, Lin, Wang, Lanying, Ding, Weiping, Qian, Yuhua, Xu, Jiucheng
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Classification; Datasets; Entropy; Feature extraction; Feature selection; fuzzy neighborhood rough sets (FNRS); Fuzzy sets; Measurement uncertainty; neighborhood entropy; neighborhood multigranulation rough sets (NMRS); Numerical models; Rough sets; Uncertainty; uncertainty measure

For heterogeneous data sets containing numerical and symbolic feature values, feature selection based on fuzzy neighborhood multigranulation rough sets (FNMRS) is a very significant step to preprocess data and improve its classification performance. This article presents an FNMRS-based feature selec...