Attribute Core of Decision Table
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Tree expressions for information systems
Journal of Computer Science and Technology
Research on rough set theory and applications in China
Transactions on rough sets VIII
Hi-index | 0.00 |
In this paper, we firstly introduce a concept of inconsistency classification based on which we draw a qualitative conclusion that the approach by Hu and Cercone for computing an attribute core based on Skowron's discernibility matrix is correct for both consistent and partially inconsistent decision tables, but may fail to work for entirely inconsistent ones. Secondly, we improve the work of Zhi and Miao concerning the computation of core attributes by defining a new binary discernibility matrix. Finally, as another application of inconsistency classification, we show that an attribute core from the algebra view is equivalent to that from the information view not only for consistent but also for partially inconsistent decision tables.