Evaluation of C4ISR system effectiveness based on Markov logic networks

In this paper, the ability predicates are set up for the system´s functional unit, and influence rules are built for dependent relationship in the system. With the mathematical relationship between ability indexes and weights of predicates, the factors with certain capability, uncertain performance, certain relationships, and uncertain influence in complex system are integrated together. Based on Markov Logic Networks (MLNs) framework, the effectiveness of functional units, subsystems and system are evaluated from functional units´ layer, subsystems´ layer to the top layer of systems´ layer. The evaluation combined the evaluation of static entity´s effectiveness and the evaluation reasoning under influence rules. At the end of paper, the evaluation model is examined by experiments and the results indicated some signification of the model.