A Fusion Evaluation Method of System Effectiveness in LVC Training Environment
Many traditional methods based on reductionism can initially achieve system effectiveness evaluation,but they have not been able to solve the problems that the degree of synthesis of distributed environments is not high,the analysis of cascade relationships is difficult to dynamically change,and the calculation of system contribution rates lacks statistical theoretical support.Aiming at the above problems,a data fusion system effectiveness evaluation model based on information reasoning is proposed.Through the mechanisms such as structure fusion learning,dynamic information reasoning,contribution probability analysis,the fusion evaluation of system effectiveness can be achieved.The simulation data set of system effectiveness evaluation under LVC training environment is constructed in the experiment,and the effectiveness of the proposed method is verified.
LVC training environmentsystem effectiveness evaluationdata fusioninformation reasoningsystem contribution rate
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