Attribute selection based on a new conditional entropy for incomplete decision systems
Shannon’s entropy and its variants have been applied to measure uncertainty in rough set theory from the viewpoint of information theory. However, few studies have been done on attribute selection in incomplete decision systems based on information-theoretical measurement of attribute importance. In...
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Veröffentlicht in: | Knowledge-based systems 2013-02, Vol.39, p.207-213 |
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Sprache: | eng |
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