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. https://doi.org/10.4236/jcc.2016.49002