1) Upper approximation reasoning
上近似推理
2) 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
3) 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。
4) Quasiapproximate reasoni
准近似推理
5) Lower approximation reasoning
下近似推理
6) fuzzy approximate reasoning
模糊近似推理
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。
参考词条