Name
Abstract | ||
|---|---|---|
By incorporating domination principle in inconsistent decision systems based on dominance relations, we define the concept of distribution function for a decision system to directly reflect the inconsistent degree of this system. A new type of distribution reduction and maximum distribution reduction are correspondingly introduced. The relationships between these two reductions are discussed, and their judgment theorems are given. In addition, this article also discusses the relations of several existing reductions, including compatible reduction, absolute reduction, and the proposed distribution reduction and maximum distribution reduction. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICMLC.2010.5581053 | ICMLC |
Keywords | Field | DocType |
rough set theory,distribution function,rough set,decision system,inconsistent decision systems,distribution reduction,maximum distribution reduction,dominance relations,dominance relation,machine learning,set theory,cybernetics,distribution functions,information systems | Information system,Discrete mathematics,Set theory,Dominance relation,Computer science,Decision system,Theoretical computer science,Rough set,Artificial intelligence,Distribution function,Machine learning,Cybernetics | Conference |
Volume | ISBN | Citations |
1 | 978-1-4244-6526-2 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Li | 1 | 101 | 11.46 |
| Na-Xin Sun | 2 | 1 | 1.06 |
| Jin Zhao | 3 | 3 | 3.49 |