Feature Subset Selection With Multi-Scale Fuzzy Granulation
Author:
Affiliation:
1. School of Mathematics Sciences, Huaqiao University, Quanzhou, China
2. School of Mathematics Sciences and Statistics, Minnan Normal University, Zhangzhou, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province
High-level Talents Start-up Project of Huaqiao University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Artificial Intelligence
Link
http://xplorestaging.ieee.org/ielx7/9078688/10023979/09685005.pdf?arnumber=9685005
Reference59 articles.
1. Relationships between knowledge bases and their uncertainty measures
2. Uncertainty measurement for a fuzzy relation information system
3. Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
4. Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
5. Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets
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