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.