Approximate inferring of goal-oriented credal network

Approximate inferring approach of Credal network based on ant colony algorithms is put forward. Considering network inferring of goal-oriented in Bayesian network for the variable decision-maker is interested in given some evidence, the paper gives arithmetic for acquiring equivalent Credal network structure of goal-oriented. Selecting of these vertexes in Credal network is considered as a multistage decision-making. Based on this, Ant Colony Algorithms is applied for Credal network approximate inferring to reuse the vertexes of high probability of each variable in order to improve efficiency of inferring arithmetic and avoid some unnecessary computation. Finally, it shows the validity of the approach by simple analysis for a complex Credal network model.