A Hierarchical Situation Assessment Model Based on Fuzzy Bayesian Network

A hierarchical fuzzy Bayesian network model for situation assessment is developed in the paper, which includes two layers: the top layer serving as a fusion center, the bottom layer as the continuous data discretization. In this model, Bayesian network (BN) is integrated with the fuzzy theory, which can generalize the continuous variable to fuzzy variable in BN. The fuzzy theory is utilized to partition the value of continuous variable into fuzzy state, which forms the soft evidence for Bayesian network. The inference mechanism of the model is given, through which the continuous and discrete data can be fused. As an example, an air strike scenario is simulated and analyzed to illustrate the functionality of the proposed model.

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