On the generalization of fuzzy rough sets

By Daniel S. Yeung, De-gang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang. IEEE transactions on fuzzy systems, 2005

436 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/22502e1667cb3d3e967db8ac224f139c69455b01

How researchers see this paper

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

In Computational Theory and Mathematics

1. Qinghua Hu
2. Daren Yu
3. Richard Jensen
4. Qiang Shen
5. Jinfu Liu
6. Congxin Wu
7. William Zhu
8. Zongxia Xie

In Management Science and Operations Research

1. Qiang Shen
2. William Zhu
3. Richard Jensen
4. Qinghua Hu
5. Daren Yu
6. Eric Wai Ting Ngai
7. James Nga-Kwok Liu
8. Junyi Chai

Citations in the corpus

• Relationship between generalized rough sets based on binary relation and covering (2009, methodology): “It has been successfully applied to process control, economics, medical diagnosis, biochemistry, environmental science, biology, chemistry, psychology, conflict analysis and other fields [11,18,20,24,38,42,46,47,57].”
• Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation (2007, background): “In order to deal with numerical and fuzzy attributes in information systems, rough set and fuzzy set are combined together [46] [47] [48] [49].”
• Neighborhood rough set based heterogeneous feature subset selection (2008, background): “Moreover, how to generate effective fuzzy relations in different classification tasks is also an open problem [37].”
• Multisensor data fusion: A review of the state-of-the-art (2013, background): “[80] in an attempt to generalize FRST to arbitrary fuzzy relations.”
• Application of decision-making techniques in supplier selection: A systematic review of literature (2013, methodology): “Several mature methodologies include rough fuzzy sets (Dubois & Prade, 1990), fuzzy rough sets (Yeung et al., 2005), and intuitionistic fuzzy rough sets (Chai, Liu, & Li, 2012).”
• New Approaches to Fuzzy-Rough Feature Selection (2009, background): “Further investigations in this area can be found in [8], [29], [37], and [42].”
• Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches (2008, background): “Further investigations in this area can be found in [72,359,388,403].”
• Attributes Reduction Using Fuzzy Rough Sets (2008, background): “These researches were studied in detail in [6].”