In view of the facts that the traditional “true or false” evaluation method is too rough and the missile test data is uncertain, the state of missiles is re-classified into five levels, namely “perfect”, “good”, “usable”, “pseudo-failed” and “failed”. A missile state evaluation method based on cloud model and Bayesian network is proposed.The cloud model is used to obtain the membership relationship between the performance test parameter and each state level. The Bayesian network is then applied to establish the multi-parameter state fusion evaluation model.The DS/AHP method is introduced to carry out the conditional probability assignment for reducing the uncertainty in the expert inference process.