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qualitative bayesian network
相关语句
  相似匹配句对
     Qualitative Bayesian Networks with Weight
     带权重的定性贝叶斯网
短句来源
     ve Bayesian.
     ve Bayesian的贝叶斯网络的模型。
短句来源
     Qualitative Recognition on Omitted Ingredients in Liuwei Dihuang Pills by Bayesian Analysis and PRIMA
     六味地黄丸缺味药的Bayes法和PRIMA法定性识别研究
短句来源
     SIMULATION OF QUALITATIVE ANALYSIS
     定性分析实验的微型计算机模拟
短句来源
     Hermeneutics and Qualitative Researches
     诠释学与质的研究方法
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On the basis of qualitative Bayesian networks, a semi-qualitative networks is proposed, which include both qualitative sign and quantitative probability distribution. The semi-qualitative networks are used to aggregate multi-experts' knowledge and experience by a stepwise procedure, so as to construct the Bayesian networks in the domain. interval to uniformly express qualitative and quantitative knowledge of multi-experts is used. An interval propagation...

On the basis of qualitative Bayesian networks, a semi-qualitative networks is proposed, which include both qualitative sign and quantitative probability distribution. The semi-qualitative networks are used to aggregate multi-experts' knowledge and experience by a stepwise procedure, so as to construct the Bayesian networks in the domain. interval to uniformly express qualitative and quantitative knowledge of multi-experts is used. An interval propagation algorithm to perform probability inference is also present in the semi-qualitative networks. Finally, an example to validate is given.

在定性贝叶斯网络的基础上,提出一种既包含定性符号信息,又包含概率分布定量信息的半定性贝叶斯网络,用以集成多个专家的知识和经验,通过一个与专家反复交互的过程,构建出相关问题领域的稳定的贝叶斯网络模型。提出利用区间数来统一表达多个专家的定性或定量的判断意见,给出了在半定性贝叶斯网络中进行概率推理的区间数传播算法,并通过算例验证其有效性。

Qualitative signs are used in qualitative Bayesian network to express various influences among variables, but the strengths are not indicated. In this paper, we study on qualitative Bayesian networks with weight. A weight is a numerical value in[0, 1] to show the strength of influence. The operation rules used in network reasoning are revised. And we design a weight pole, which can help experts educe weights. This method keeps the simplicity of modeling process and improves the precision...

Qualitative signs are used in qualitative Bayesian network to express various influences among variables, but the strengths are not indicated. In this paper, we study on qualitative Bayesian networks with weight. A weight is a numerical value in[0, 1] to show the strength of influence. The operation rules used in network reasoning are revised. And we design a weight pole, which can help experts educe weights. This method keeps the simplicity of modeling process and improves the precision of reasoning.

定性贝叶斯网使用定性的影响标记表示变量之间的影响关系,但不能表达影响力的强弱,在推理过程中容易出现不确定的结果.研究了带权重的定性贝叶斯网,权重是一个[0,1]区间内的数值,用以表达影响力的强弱,修正了推理中的运算规则,并设计了权重标杆方便专家给出权重,保持了定性贝叶斯网络建模过程的简易性,同时提高了推理精度.

 
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