同时给出基于基本概率赋值决策的目标识别时序累积方法。
At the same time, a method of consequent target identification based on the decision from basic belief assignment is put forward.
在基于D-S推理的信息融合中，其关键问题是基本概率赋值函数的构造。
The key problem to D-S reasoning is basic probability assignment function, so the algorithm implementation of D-S reasoning is a esrious problem.
论文改进了应用证据理论进行信息时空融合诊断时基本概率赋值的构造方法。
The paper has improved the contexture methodology of basic probability of D-S Reasoning when its application in information temporal-spatial fusion.
首先建立基本概率赋值，然后计算信任函数，最后按照一定的组合规则作出决策。
At first, the basic probability assignment is established; then, the trust function is calculated; at last, the decision is made according to some combination rule.
赋值密度函数概率真度推理规则相似度伪距离。
Valuation density probability truth degree inference rule similarity degree pseudo-distance.
赋值密度函数概率真度推理规则相似度伪距离。
Valuation density probability truth degree inference rule similarity degree pseudo-distance.
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