The Variable Precision Rough Set Model for Data Mining in Inconsistent Information System

The variable precision rough set (VPRS) model is an extension of original rough set model. For inconsistent information system, the VPRS model allows a flexible approximation boundary region by a precision variable. This paper is focused on data mining in inconsistent information system using the VPRS model. A method based on VPRS model is proposed to apply to data mining for inconsistent information system. By our method the deterministic and probabilistic classification rules are acquired from the inconsistent information system. An example is given to show that the method of data mining for inconsistent information system is effective.