1. Introduction
In [2] pawlak introduced approximation spaces during the early 1980s as part of his research on
classifying objects by means their feature. In [1] rough set theory introduced by Pawlak in 1982, as an extension
of set theory, mainly in the domain of intelligent systems. In [4,5] m. Jamal and N. Duc rough set theory as a
mathematical tool to deal with vagueness and incomplete information data or imprecise by dividing these data
into equivalence classes using equivalence relations which result from the same data. This paper study the rough
probability in the topological spaces which we can consider them as results from the general relations on the
approximation spaces.