Name
Abstract | ||
|---|---|---|
Granular reasoning is a way of reasoning using granularized possible worlds and lower approximation in rough set theory. However, it can deal only with monotonicity. Then, the extended lower approximation in Ziarko's variable precision rough set model is introduced to describe nonmonotonic reasoning. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-25929-9_11 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
granular reasoning,variable precision rough set model,nonmonotonicity | Monotonic function,Computer science,Variable precision,Rough set,Circumscription,Artificial intelligence,Non-monotonic logic,Dominance-based rough set approach,Possible world | Conference |
Volume | ISSN | Citations |
3066 | 0302-9743 | 3 |
PageRank | References | Authors |
0.84 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tetsuya Murai | 1 | 186 | 42.10 |
| Masayuki Sanada | 2 | 15 | 4.74 |
| Yasuo Kudo | 3 | 95 | 26.41 |
| Mineichi Kudo | 4 | 927 | 116.09 |