Soft computing is a combination of methods that complement each other when dealing with ambiguous\nreal life decision systems. Rough Set Theory (RST) is a technique used in soft computing\nthat enhances the idea of classical sets to deal with incomplete knowledge and provides a mechanism\nfor concept approximation. It uses reducts to isolate key attributes affecting outcomes in decision\nsystems. The paper summarizes two algorithms for reduct calculation. Moreover, to automate\nthe application of RST, different software packages are available. The paper provides a survey of\npackages that are most frequently used to perform data analysis based on Rough Sets. For benefit\nof researchers, a comparison of based on functionalities of those software is also provided.
Loading....