In rough set theory, the notion of dependency is defined very simply.

Like rough sets, the lower and upper approximations of a set are used.

He was credited with introducing the rough set theory and also known for his fundamental works on it.

Briefly, a rough set can be described as follows.

The following contains the basic principles of decision-theoretic rough sets.

Rough set theory is useful for rule induction from incomplete data sets.

Since the development of rough sets, extensions and generalizations have continue to evolve.

The dominance-based rough set approach is an example of this type of models.

Rough sets can be used to represent ambiguity, vagueness and general uncertainty.

Rough set methods can be applied as a component of hybrid solutions in machine learning and data mining.

Several generalizations of rough sets have been introduced, studied and applied to solving problems.

If consensus means a rough set of prevailing views with no particular relation to one another, then we've got one.

Learning in relational databases: a rough set approach.

The key idea of the rough set philosophy is approximation of one knowledge by another knowledge.

Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space.

The idea of rough set was proposed by Pawlak (1981) as a new mathematical tool to deal with vague concepts.

Stochastic dominance-based rough sets can also be regarded as a sort of variable-consistency model.

It was a low barroom, frequented by sailors and a rough set of customers of similar character.

Two notable extensions of classical rough sets are:

In August, the rough sets were assembled and finishing touches, like eyes and mouths, were added.

Information granulation and rough set approximation.

Dominance-based rough set approach (theoretical computer science)

More formal properties and boundaries of rough sets can be found in Pawlak (1991) and cited references.

Generalized rough sets based feature selection.

Rough set theory - the a form of set theory based on rough sets.