This paper considers an extension of probability space based on interval random variables. In this approach, first, a notion of interval random variable is introduced. Then, based on a family of continuous distribution functions with interval parameters, a concept of probability space of an interval random variable is proposed. Then, the mean and variance of an interval random variable are introduced. The presented theoretical results will be illustrated with some lemmas. Some numerical examples will be used to show the performance of the proposed method.