Attributes Reduction Using Fuzzy Rough Sets

By Eric C. C. Tsang, De-gang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee. IEEE transactions on fuzzy systems, 2008

313 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/bfb36a60d6d0ec77640354a60f534fa4a099af4c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pradipta Maji
2. Partha Garai
3. Qiang Shen
4. Ren-hong Diao
5. Richard Jensen

In Computational Theory and Mathematics

1. Pradipta Maji
2. Partha Garai
3. Ren-hong Diao
4. Qiang Shen
5. Richard Jensen
6. Qing Xu
7. Jianhua Dai

In Signal Processing

1. Qiang Shen

Citations in the corpus

• Feature Selection With Harmony Search (2012, background): “[58] and fuzzy-rough sets [3], [24], [25], [51], probabilistic consistency [8], [34], and correlation analysis [19], [20].”
• Fuzzy–Rough Simultaneous Attribute Selection and Feature Extraction Algorithm (2013, methodology): “The generalized theories of rough-fuzzy computing have been applied successfully to feature selection of real valued data set [7], [11], [14], [15], [16], [17], [18].”