TITLE:
A Survey of Software Packages Used for Rough Set Analysis
AUTHORS:
Zain Abbas, Aqil Burney
KEYWORDS:
Rough Set Theory, Soft Computing, Reducts, Rosetta, Rough Sets, Decision Table, RSES, Rose2, WEKA
JOURNAL NAME:
Journal of Computer and Communications,
Vol.4 No.9,
July
21,
2016
ABSTRACT: Soft computing is a combination of methods
that complement each other when dealing with ambiguous real life decision
systems. Rough Set Theory (RST) is a technique used in soft computing that
enhances the idea of classical sets to deal with incomplete knowledge and
provides a mechanism for concept approximation. It uses reducts to isolate key
attributes affecting outcomes in decision systems. The paper summarizes two
algorithms for reduct calculation. Moreover, to automate the application of
RST, different software packages are available. The paper provides a survey of
packages that are most frequently used to perform data analysis based on Rough
Sets. For benefit of researchers, a comparison of based on functionalities of
those software is also provided.