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Rough fuzzy hybridization
Summary
- Rough fuzzy hybridization is a method of hybrid intelligent system or soft computing, where Fuzzy set theory is used for linguistic representation of patterns, leading to a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space.
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| | Soundex: R212 ( R2 F2 H163 )
Metaphone: RFFSBRTSXN
Reference
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* This page is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Rough fuzzy hybridization".
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