Skip to main content

A Survey of Software Packages Used for Rough Set Analysis

  • Abbas Z
  • Burney A
Citations of this article
Mendeley users who have this article in their library.


Soft computing is a combination of methods that complement each other when dealing with am-biguous 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 mechan-ism for concept approximation. It uses reducts to isolate key attributes affecting outcomes in deci-sion 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.




Abbas, Z., & Burney, A. (2016). A Survey of Software Packages Used for Rough Set Analysis. Journal of Computer and Communications, 04(09), 10–18.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free