Title :
Rough sets as a tool in data engineering
Author :
Garcia-Moreno, A.
Abstract :
The main objective of this paper is to introduce the Pawlak´s rough sets theory as a tool in data engineering and, more precisely, in dependencies discovering from data. In this field, two different kinds of tabular representation of knowledge are used: KRS tables and decision tables. Using decision tables the authors show how useful consequences may be inferred from real data collected in their academic community
Keywords :
decision tables; inference mechanisms; knowledge representation; set theory; KRS tables; data engineering; decision tables; rough sets theory; tabular knowledge representation; Bellows; Computer industry; Data engineering; Information systems; Knowledge representation; Rough sets; Size measurement; Software tools; Telecommunication standards;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537798
