Attribute reduction of covering decision systems by hypergraph model

Attribute reduction (also called feature subset selection) plays an important role in rough set theory. Different from the classical attribute reduction algorithms, the methods of attribute reduction based on covering rough sets appear to be suitable for numerical data. However, it is time-consuming...

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Veröffentlicht in:	Knowledge-based systems 2017-02, Vol.118, p.93-104
Hauptverfasser:	Chen, Jinkun, Lin, Yaojin, Lin, Guoping, Li, Jinjin, Zhang, Yanlan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Attribute reduction Decision systems Decision theory Graph theory Hypergraphs Mathematical models Reduction Rough set models Rough sets Set theory Vertex covers
Online-Zugang:	Volltext
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