Theoretical computer science | Systems of set theory | Approximations

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 approximation of the original set. In the standard version of rough set theory (Pawlak 1991), the lower- and upper-approximation sets are crisp sets, but in other variations, the approximating sets may be fuzzy sets. (Wikipedia).

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Dominance-based rough set approach | Dimensionality reduction | Type-2 fuzzy sets and systems | Feature selection | Statistics | Granular computing | Probability | Ambiguity | Near sets | Dempster–Shafer theory | Description logic | Fuzzy set | Game-theoretic rough sets | Model selection | Uncertainty | Equivalence class | Text mining | Rough fuzzy hybridization | Decision-theoretic rough sets | Vagueness | Alternative set theory | Equivalence relation | Fuzzy logic | Data mining | Entropy (information theory) | Algebraic semantics (mathematical logic)