A Survey on Rough Set Theory and Their Extension For Data Mining

Abstract

Nowadays the amount of data has been huge andto extract useful information is too difficult. By the frequentlyresearch of thirty years, a new mathematical or data miningtool, the rough set theory, evolve with vague, imprecise anduncertainty information by the researcher Pawlak. Rough settheory is well known for knowledge discovery and popular formaking the good decision with specific data. It is also dealingwith the approximation concept for providing the decision suchas acceptance and rejection. In this paper I summarized thebasic concept of rough set theory, different operation with littleexample and the extension of rough set theory. By usingextension, we can deal any proposed task in the field of Datamining