Rough fuzzy hybridization
   HOME

TheInfoList



OR:

{{No footnotes, date=April 2009 Rough fuzzy hybridization is a method of hybrid intelligent system or
soft computing Soft computing is a set of algorithms, including neural networks, fuzzy logic, and evolutionary algorithms. These algorithms are tolerant of imprecision, uncertainty, partial truth and approximation. It is contrasted with hard computing: al ...
, where Fuzzy set theory is used for linguistic representation of patterns, leading to a ''fuzzy granulation'' of the feature space.
Rough set In computer science, a rough set, first described by Polish computer scientist Zdzisław I. Pawlak, is a formal approximation of a crisp set (i.e., conventional set) in terms of a pair of sets which give the ''lower'' and the ''upper'' approximati ...
theory is used to obtain dependency rules which model informative regions in the granulated feature space.


External links


Case generation


Fuzzy logic