Rough fuzzy hybridization
- Rough fuzzy hybridization
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.
External links
* [http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/trans/tk/&toc=comp/trans/tk/2004/03/k3toc.xml&DOI=10.1109/TKDE.2003.1262181 Case generation]
* [http://www.informatik.uni-trier.de/~ley/db/conf/rsfdgrc/rsfdgrc1999.html A textbook]
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