Using optimisation techniques to granulise rough set partitions
Rough set theory (RST) is concerned with the formal approximation of crisp sets and is a mathematical tool which deals with vagueness and uncertainty. RST can be integrated into machine learning and can be used to forecast predictions as well as to determine the causal interpretations for a parti...
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| Format: | Others |
| Language: | en |
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2009
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| Online Access: | http://hdl.handle.net/10539/5967 |