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.

Rough fuzzy hybridization

Class	Hybrid intelligent system
Data structure	Granulated feature space
Worst-case performance	Varies by implementation
Worst-case space complexity	Varies by implementation

External links

• Case generation
• A textbook