Maximal consistent block technique for rule acquisition in incomplete information systems

By Yee Leung, Deyu Li. Information Sciences, 2003

302 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems

View Paper: https://www.semanticscholar.org/paper/e28a6a76298fdc106aa80d99834641a84cbd4fc2

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. Yiyu Yao
2. Weizhi Wu
3. Wenxiu Zhang
4. Jiye Liang
5. Y. Qian
6. Chuangyin Dang
7. Yee Leung
8. Jusheng Mi

In Computational Theory and Mathematics

1. Weizhi Wu
2. Yiyu Yao
3. Y. Qian
4. Jiye Liang
5. Wenxiu Zhang
6. Jusheng Mi
7. Chuangyin Dang
8. Yee Leung

In Information Systems

1. Weizhi Wu
2. Y. Qian
3. Jusheng Mi
4. Yee Leung
5. Wenxiu Zhang
6. Jiye Liang
7. Chuangyin Dang
8. Yiyu Yao

Citations in the corpus

• MGRS: A multi-granulation rough set (2010, result): “If c AT b D, then we say S is consistent, otherwise it is inconsistent [10].”
• 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].”
• Incomplete Multigranulation Rough Set (2010, background): “A system in which values of all attributes for all objects from U are regular (known) is called complete and is called incomplete, otherwise [13]–[15], [18].”
• Knowledge acquisition in incomplete information systems: A rough set approach (2006, methodology): “Leung and Li (2003) used the concept of maximal consistent block technique for rule acquisition in incomplete information systems.”