In the testability index evaluation method based on prior data fusion， there is a problem that the prior information conflicts with each other. Thus， a testability evaluation method of equipment based on information fusion multi-source conflict evidence is proposed， introducing the Lance distance to improve the traditional D-S evidence fusion method. Firstly， according to the different forms of a prior data of each source， the empirical Bayesian method and the maximum entropy method are used to obtain the prior distribution parameters of testability indicators， and then， the mass function under the identification framework is constructed by the Beta function. Finally， the final evaluation result is obtained by using the D-S evidence fusion method based on the improved Lance distance. Through the example analysis， it is found that the method proposed in this paper has higher accuracy compared with the traditional D-S evidence fusion method.