Rough Set Logic
Origin. Pawlak (1982). Indiscernibility. Approximations. Incomplete information. Foundation of approximate reasoning.
Models. Approximation spaces. Lower and upper approximations. Boundary regions. Indiscernibility relations.
Formalism.
Approximation space: ⟨U, R⟩ where: U: universe of objects. R: equivalence relation (indiscernibility). [x]_R: equivalence class of x.
Lower approximation: R*(X) = {x ∈ U : [x]_R ⊆ X}. Certainly in X. All indiscernible objects in X.
Upper approximation: R*(X) = {x ∈ U : [x]_R ∩ X ≠ ∅}. Possibly in X. Some indiscernible object in X.
Boundary region: BN_R(X) = R*(X) - R*(X). Uncertain membership. Rough set: nonempty boundary. Crisp set: empty boundary.
Rough membership: μ_X(x) = |[x]_R ∩ X| / |[x]_R|. Degree of membership. 0 = certainly out. 1 = certainly in. Between = boundary.
Modal interpretation: □A ↔ lower approximation. ◇A ↔ upper approximation. S5 modality. Necessity = certainty.
Rough logic operators: Rough equality: X ≈ Y iff R*(X) = R*(Y) and R*(X) = R*(Y). Rough inclusion. Approximation operations.
Symbols.
| Symbol | Unicode | Meaning |
|---|---|---|
| R* | — | lower approximation |
| R* | — | upper approximation |
| BN | — | boundary region |
| [x]_R | — | equivalence class |
Metatheory. Approximation spaces. Modal correspondence. Topological connection. Algebraic structure.
Applies to. Data mining. Incomplete information. Approximate reasoning. Knowledge discovery.
Limitations. Equivalence relations only (extended later). Attribute selection. Computational complexity. Discretization.
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