A New Version of Bayesian Rough Set Based on Bayesian Confirmation Measures

Bayesian Confirmation Measures (BCM) quantify the strength of the confirmation where an evidence confirm, disconfirm or conformational irrelevance to the hypothesis under the test. In this paper BCM within Bayesian Rough Set approach (BRS) are applied to introduce a parametric extension of the BRS in order to handle totally ambiguous and enhance the precision of Rough set, and to deal with both two decision classes and multi decision classes. This concept is demonstrated by an example. The simulated result gives good accuracy and precise information with few computational steps.