Hello.Yes I'm new on this platform, though I have sent mail about using weka to implement Rough Set Theory (RST); unfortunately no reply was given.
My project supervisor suggested me to use weka to carryout RST operations.
Re: Still want to know if WEKA can be used to implement Rough Set Theory
I guess you are looking for an algorithm computing reducts provided as
an attribute selection method in Weka GUI. As far as I know none of the
Weka packages exposes such an algorithm. MODLEM contains some aspects of
rough set theory but it does not compute reducts. It uses a covering
algorithm to generate a set of rules.
However, if you need to compute reducts for a data set in an arff
format, there are some options:
1. Rseslib is a Weka-based package that provides a command-line program
computing reducts. Information on how to run the program and the types
of reducts available in the program are described in Section "15.1
Compute and write reducts" of Rseslib user guide:
The program computes reducts in an arff data set after adding both
rseslib.jar and weka.jar to the class path.
2. Professor Richard Jensen provided a fork of an older version of Weka
extended with a number of algorithms computing reducts available in GUI
as attribute selection methods. The fork and the guide are available at: