Bayesian network-based combat effectiveness evaluation method of surveillance unmanned aerial vehicles

The invention provides a Bayesian network-based combat effectiveness evaluation method of the surveillance unmanned aerial vehicles. The method comprises three parts of establishing an effectiveness evaluation index system, establishing a Bayesian network effectiveness evaluation model and performing the Bayesian network reasoning. By analyzing a combat system structure and a basic combat process,utilizing an entropy weight method to screen an efficiency evaluation index set, and constructing an index system for the combat efficiency evaluation of the surveillance unmanned aerial vehicles, the index system is simpler and more reasonable; a Monte Carlo algorithm is used for parameter learning of the Bayesian network, so that a conditional probability table is determined, the trouble of manually inputting the conditional probability table is avoided, and the efficiency is greatly improved; and the accurate inference of the Bayesian network is carried out by utilizing a cluster tree propagation algorithm, so that the reasoning time is saved, and the reasoning accuracy is improved.