Abstract | ||
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Rough set theory is a useful and effective tool to cope with granularity and vagueness in information system and has been used in many fields. However, it is hard to get the reduct of a covering in rough sets. This paper attempts to get the reduct of a covering at a high speed in theory. It defines upset and downset based on a poset in a covering, studies the relationship between reducible element and downset, and obtains some good results such as sufficient and necessary condition about the reducible element in a covering. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-16248-0_9 | RSKT |
Keywords | Field | DocType |
rough set theory,reducible element,information system,rough set,effective tool,necessary condition,high speed,covering-based rough set,paper attempt,good result | Information system,Reduct,Computer science,Theoretical computer science,Upset,Artificial intelligence,Granularity,Dominance-based rough set approach,Discrete mathematics,Vagueness,Rough set,Machine learning,Partially ordered set | Conference |
Volume | ISSN | ISBN |
6401 | 0302-9743 | 3-642-16247-9 |
Citations | PageRank | References |
3 | 0.42 | 10 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shiping Wang | 1 | 97 | 5.94 |
William Zhu | 2 | 101 | 10.05 |
Peiyong Zhu | 3 | 59 | 8.68 |