Rough fuzzy hybridization
 | This article includes a list of references, related reading, or external links, but its sources remain unclear because it lacks inline citations. (April 2009) |
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.