Knowledge acquisition in incomplete information systems: A rough set approach

By Yee Leung, Weizhi Wu, Wenxiu Zhang. European Journal of Operational Research, 2006

303 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/390723159888dfdf0b9dbff830d9ce1e54801c6b

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. Weizhi Wu
2. Jusheng Mi
3. Kuttiannan Thangavel
4. Yee Leung
5. A. Pethalakshmi
6. Qinghua Hu
7. Daren Yu
8. Zongxia Xie

In Information Systems

1. Weizhi Wu
2. Kuttiannan Thangavel
3. Yee Leung
4. Jusheng Mi
5. A. Pethalakshmi

In Signal Processing

1. Yee Leung
2. Jusheng Mi
3. Weizhi Wu

Citations in the corpus

• Dimensionality reduction based on rough set theory: A review (2009, background): “[60] Proposed the similarity classes in incomplete information systems and two kinds of approximations are formed for the”
• Granular Computing and Knowledge Reduction in Formal Contexts (2009, background): “Various approaches have also been developed to perform knowledge reduction and obtain optimal true, certain, and possible decision rules in decision systems [20], [22], [25], [26], [27], [31], [41], [42], [62].”