Operation scheme evaluation is a key link in assisting operational decision-making, which quantitatively evaluates to which extent a planned operation can accomplish a predetermined operational objective.Current evaluation methods are mainly based on the classic multi-attribute decision theory, but these methods unilaterally focus on subjective or objective factors when allocating index weights.To solve the problem, an evaluation model of operation scheme based on adaptive allocation of latent weights is proposed.The model implements the weighted sum strategy within the framework of Bayesian network, and integrates both subjective and objective information in a nonlinear manner according to a given sample set and sample labels, so as to adaptively allocate latent weights of the indexes, and then calculates the evaluation results of the new scheme using the posterior inference mechanism of Bayesian method.Experiments have also verified the effectiveness of the model.