Name
Abstract | ||
|---|---|---|
This paper focuses on rough set theory which provides mathematical foundations of set-theoretical approximation for concepts, as well as reasoning about data. Also presented in this paper is the concept of relative reducts which is one of the most important notions for rule generation based on rough set theory. In this paper, from the viewpoint of approximation, the authors introduce an evaluation criterion for relative reducts using roughness of partitions that are constructed from relative reducts. The proposed criterion evaluates each relative reduct by the average of coverage of decision rules based on the relative reduct, which also corresponds to evaluate the roughness of partition constructed from the relative reduct, |
Year | DOI | Venue |
|---|---|---|
2010 | 10.4018/jcini.2010040104 | IJCINI |
Keywords | Field | DocType |
decision rule,relative reducts,rule generation,rough set theory,evaluation criterion,mathematical foundation,important notion,set-theoretical approximation,evaluation method,proposed criterion,relative reduct | Decision rule,Data mining,Reduct,Decision table,Computer science,Algorithm,Rough set,Surface finish,Partition (number theory) | Journal |
Volume | Issue | ISSN |
4 | 2 | 1557-3958 |
Citations | PageRank | References |
3 | 0.53 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasuo Kudo | 1 | 95 | 26.41 |
| Tetsuya Murai | 2 | 186 | 42.10 |