Rough fuzzy hybridization
Encyclopedia
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.
Hybrid intelligent system
Hybrid intelligent system denotes a software system which employs, in parallel, a combination of methods and techniques from artificial intelligence subfields as:* Neuro-fuzzy systems* hybrid connectionist-symbolic models* Fuzzy expert systems...
or soft computing
Soft computing
Soft computing is a term applied to a field within computer science which is characterized by the use of inexact solutions to computationally-hard tasks such as the solution of NP-complete problems, for which an exact solution cannot be derived in polynomial time.-Introduction:Soft Computing became...
, where Fuzzy set
Fuzzy set
Fuzzy sets are sets whose elements have degrees of membership. Fuzzy sets were introduced simultaneously by Lotfi A. Zadeh and Dieter Klaua in 1965 as an extension of the classical notion of set. In classical set theory, the membership of elements in a set is assessed in binary terms according to...
theory is used for linguistic representation of patterns, leading to a fuzzy granulation of the feature space. Rough set
Rough set
In computer science, a rough set, first described by a Polish computer scientist Zdzisław I. Pawlak, is a formal approximation of a crisp set in terms of a pair of sets which give the lower and the upper approximation of the original set...
theory is used to obtain dependency rules which model informative regions in the granulated feature space.