Abstract: Bayesian Networks can been expanded to Bayesian Networks appending interval probability by using interval probability to replace the probability tables in Bayesian Networks.Canonical concept is good for interval probability computation,although it has some disadvantages comparing to intuitive concept.For getting posterior probability,the approximate reasoning(Gibbs sampling)was used,then the arithmetic analysis and experiment results of approximate reasoning were given,the method was proved to be feasible.