Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing
From MaRDI portal
Publication:2060786
DOI10.1016/j.ijar.2021.09.006OpenAlexW3198971815MaRDI QIDQ2060786
P. S. V. S. Sai Prasad, Anil Kumar
Publication date: 13 December 2021
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2021.09.006
incremental learningfuzzy rough setfeature subset selectionfuzzy min-max neural networkfuzzy discernibility matrix
Related Items (2)
Three-way decision-based co-detection for outliers ⋮ A novel method to information fusion in multi-source incomplete interval-valued data via conditional information entropy: application to mutual information entropy based attribute reduction
Cites Work
- Unnamed Item
- A fuzzy rough set approach for incremental feature selection on hybrid information systems
- An incremental attribute reduction approach based on knowledge granularity under the attribute generalization
- Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems
- Finding rough and fuzzy-rough set reducts with SAT
- Fuzzy-rough attribute reduction with application to web categorization.
- A comparative study of fuzzy rough sets
- Towards scalable fuzzy-rough feature selection
- Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving
- Discernibility matrix based incremental feature selection on fused decision tables
- Updating attribute reduction in incomplete decision systems with the variation of attribute set
- Attribute reduction with fuzzy rough self-information measures
- Incremental feature selection based on fuzzy rough sets
- Rough sets
- Rough set methods in feature selection and recognition
This page was built for publication: Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing
