A Reasoning Method in Conditional Evidential Networks based on Dezert-Smarandache Model
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چکیده
Aiming to solving the problem that the evidence information based on Dezert-Smarandache (DSm) model can not be fused effectively in Conditional Evidential Network based on Smets/DS model (ENC), a reasoning method in Conditional Evidential Network based on DSm model is proposed. First, the conditional reasoning formular in Conditional Evidential Network based on DSm model is proved and the reasoning algorithm is proposed. Then, the hyper-power set of overlapping hypotheses is refined to a new power set of exhaustive and exclusive hypotheses, and the conditional belief functions of hyper-power set are obtained by using the Generalized Bayesian Theorem (GBT) and the Disjunctive Rule of Combination (DRC) in the new power set. Thirdly, the algorithm procedure in Conditional Evidential Network based on Smets/DS model or DSm model is given. Finally, through the air target situation assessment examples, the effectiveness of the proposed method is verified.
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