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1)  Compositional Rule of Inference(CRI)
推理合成规则近似推理方法(CRI)
2)  approximate fuzzy reasoning
近似推理方法
3)  composite rule of inference
推理合成规则
4)  composition rules of inference
合成推理规则
5)  approximate reasoning
近似推理
1.
An approximate reasoning approach based on the measures of similarity between vague sets;
基于Vague集的近似推理方法
2.
Equivalence of three different types of approximate reasoning patterns;
三种近似推理模式的等价性
3.
The approximate reasoning of Bayesian Network appending interval probability;
带区间参数的贝叶斯网的近似推理
6)  approximate inference
近似推理
1.
Then the method for learning ID structures from interval data and the example of approximate inferences were proposed.
对传统影响图进行了扩充,提出了带区间参数的影响图(ID)概念,在此基础上,给出了基于遗传算法(GA)的带区间参数影响图的结构学习方法,采用Gibbs采样算法对该类影响图作了近似推理,并应用于具体实例。
2.
Bayesian networks have already had some relatively mature accurate and approximate inference algorithms as a result of twenty years development.
经过二十年的发展,贝叶斯网络已经有一些比较有效的精确和近似推理算法。
补充资料:演绎推理(见推理)

  
  演绎推理(见推理)
  deductive inference

  住理。yanyl tullj演绎推理(deduetive infer。二ee)见
  
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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