Rough fuzzy hybridization
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| Class | Hybrid intelligent system |
|---|---|
| Data structure | Granulated feature space |
| Worst-case performance | Varies by implementation |
| Worst-case space complexity | Varies by implementation |
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.
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