-->

Rough set implementation

dev java, machine_learning

A rough set is an approximation of a set that gives the lower and upper borders of the set.

Rough set implementation

The sample implementation starts off with reading the data set and the configuration file. The object and attribute index lists are acquired from the configuration. The items that have indices specified in the object list are considered as the set of objects and the rest of the items are the complement of the data set.

RoughSet 1

If a given index in attribute index list equal in both object list and complementary object list are not equal the object is considered to belong to the negative border, if not it belongs to the positive border.

Sample Output

RoughSet Sample Output

Resources