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1)  basic probability assignment
基本概率指派
1.
However,how to construct basic probability assignment(BPA)is still an open .
但是各个证据的基本概率指派如何生成仍然是一个有待解决的问题。
2.
For example, basic probability assignments of evidence are often determined beforehand by experts according to their experience, which seems to be too subjective.
证据推理是处理不确定问题的重要方法 ,但实用中存在许多问题 ,如假设集的基本概率指派 (bpa)往往由专家事先确定 ,带有较强的主观性 。
2)  basic probability
基本概率
1.
To define upper and lower probabilities by using the basic probability of set,and then form the belief;to define the inclusion degree and intersection degree of the fuzzy set by using the subordinate function and make the belief theory can be spread in the fuzzy set and then get a reasonable inference method in using uncertainty and fuzziness.
通过使用集合的基本概率定义上限、下限概率,形成信度;通过隶属函数定义模糊集合的包含度、相交度,使信度理论在模糊集合得以扩张,得到了利用不确定性及模糊性的一个合理的推理方法。
3)  Basic believe assign
基本置信指派
4)  basic probability assignment
基本概率分配
1.
However,basic probability assignment(BPA) was one of the key problems in its application.
命题基本概率分配(BPA)的确定是D-S证据理论得以广泛应用的关键之一,将改进的BP网络运用到基本概率分配的确定过程中,使得BP网络和D-S证据理论两者有机地联合应用,这样既可利用D-S证据理论来表达和处理不确定信息,又可以充分发挥BP网络的自学习、自适应和容错能力。
2.
However,basic probability assignment(BPA) is one of the key problems in its application and we still have not an objective approach for acquiring the propositions′ BPAs.
命题基本概率分配(BPA)的确定是D-S证据理论得以广泛应用的关键之一。
3.
An induced evidence distribution function is constructed based on the basic probability assignment in Dempster\|Shafer theory of evidence.
基于基本概率分配构造了证据判断框架上的一个证据诱导分布函数 。
5)  basic probability assignment
基本概率赋值
1.
A kind of absorb rule based on basic probability assignment weighting is produced.
文中研究比较了几种冲突严重情况下的证据理论合成公式,鉴于D-S证据理论合成公式的不足,文中提出了一种基于基本概率赋值加权的吸收算法。
2.
In this paper, features of the speakers are extreacted and fused with D-S approach, the basic probability assignment are assigned repeatedly.
该方法通过抽取说话人特征,用D-S证据理论对语音特征矢量的各个分量进行数据融合,重新分配基本概率赋值,并依此得出证据可信度,从而达到识别说话人身份的目的。
3.
Secondly,according to the working characteristics and environment of the sensors used to acquire fault characteristic information,a new method to construct basic probability assignment function is proposed based on membership function.
首先基于扩展证据理论中的广义识别框架,结合并发故障的特点,建立了并发故障的模型;然后根据故障诊断中用来获得故障特征信息的传感器的工作特性和工作环境,提出了一种新的基于模糊隶属度的基本概率赋值函数构造方法;最后以多功能转子试验台为应用对象,验证了该文并发故障诊断方法的有效性。
6)  gene assignment
基因指派
补充资料:指派
1.指名派遣,委派。 2.指摘。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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