Nov 20, 2022 · This paper proposes a first of its kind fuzzy graph based technique for measuring feature relevance and redundancy.
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A fuzzy set based approach for effective feature selection
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The idea is to unify graph construction and data transformation, resulting in a new framework which results in an optimal graph rather than a predefined one.
In this study, we investigate a feature selection method based on a generalized multigranulation fuzzy rough set(GMFNRS) in fuzzy decision systems. First, the ...
A novel feature selection method employing a Memetic Algorithm enhanced with a fuzzy fitness function that frequently outperformed existing methods and ...
We propose a divide-and-conquer technique with fuzzy backward feature elimination (FBFE) that helps to find the important features quickly and accurately.
In this paper, we propose a new feature selection algorithm called Fuzzy Rules and Information Gain Ratio based Feature Selection Algorithm for selecting the ...
A fuzzy set based approach for effective feature selection. https://doi.org/10.1016/j.fss.2022.05.023 ·. Journal: Fuzzy Sets and Systems, 2022, p. 187-206.
This paper proposes new algorithms for selecting relevant features and evaluating and selecting a subset of relevant objects in a dataset.
In this paper, we propose a fuzzy rough set approach using the Hausdorff distance of the sample set for hierarchical feature selection.
Oct 25, 2022 · The bi-selection method based on fuzzy rough sets (BSFRS) is presented for data reduction by integrating the instance selection and the feature selection ...