UUV System Performance Evaluation Method Based on BN-AHP
This paper proposes a new performance evaluation method combining Analytic Hierarchy Process(AHP)and Bayesian Networks(BN).Firstly,five dimensions of Unmanned underwater vehicle(UUV)effectiveness evaluation are summarized.Secondly,AHP method is used to establish an index system for each dimension,and it is used as the node input of Bayesian network,so as to bring uncertainty factors into the evaluation process.Then,the evaluation value of UUV efficacy is obtained by Bayesian inference.Finally,the computer simulation is compared with the traditional AHP method,information entropy method and artificial neural network method.The experimental results show that the proposed method has more convergence and concentration compared with the traditional AHP method and information entropy method.Compared with the artificial neural network method,the evaluation can be completed in the case of lack of data.At the same time,it is more distinguishability in efficiency impact factor analysis and scheme optimization.