Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
The Representation and Resolution of Rough Sets Based on the Extended Concept Lattice
verfasst von : Xuegang Hu, Yuhong Zhang, Xinya Wang
Erschienen in: Fuzzy Systems and Knowledge Discovery
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Rough set (RS) theory is a mathematics tool for handling uncertain problem. It is helpful for KDD, but expensive consumption of time and unclear expression of result are the main problem in practical application. The extended concept lattice (ECL) jis a new form of concept lattice which is gotten by introducing equivalence intension into Galois concept lattice (GCL). The ECL is an efficient tool for data analysis and knowledge discovery in database (KDD). Both ECL and RS are based on equivalence class, so the relative between them exists. This paper describes the ECL first, then discusses the relation between the ECL and RS, and describes the implementation of rough set based on ECL.