This paper employs Bayesian method to establish acceptance sampling plans for three equally-spaced interval censoring data. Assume that the interval censoring data have a multinomial distribution, in which the interval probabilities are random and follow the Dirichlet distribution. The Bayes risk is defined according to a suitable loss function. Bayesian sampling plans are determined by minimizing the Bayes risk per lot and some of them are tabulated. A numerical example is used for illustration.