Name
Abstract | ||
|---|---|---|
The concept lattice is useful in knowledge processing and data analyzing. By reducing lattice, it can get the process more efficiently and the work will be simpler. In this paper, a kind of composing relation between reduct and relative necessary attributes is proposed, then is proved, and a novel approach to explore the reduction of concept lattice is presented. Since we avoid computing all of the concepts of the formal context, distinguishable matrix and distinguishable function, it is a fast and sententious approach. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.253 | FSKD (5) |
Keywords | Field | DocType |
novel approach,relative necessary attribute,distinguishable function,concept lattice,distinguishable matrix,formal context,fast approach,sententious approach,composing relation,knowledge processing,fuzzy systems,gallium,data mining,knowledge representation,knowledge engineering,lattices,data analysis,fuzzy sets | Knowledge representation and reasoning,Reduct,Lattice (order),Computer science,Matrix (mathematics),Lattice Miner,Theoretical computer science,Fuzzy set,Artificial intelligence,Knowledge engineering,Fuzzy control system,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenbo Liu | 1 | 0 | 0.34 |
| Bingyao Jin | 2 | 0 | 0.34 |
| Ji-yi Wang | 3 | 17 | 8.05 |