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1)  plausible inference
似然推理
1.
In this paper, the knowledge representation based on the fuzzy set theory is investigated, and a new plausible inference algorithm PMLIFS-I is presented.
该文探究了基于模糊集理论的知识表示法,提出了似然推理新算法PMLIFS-I。
2)  plausible reasoning
似然[似真]推理
3)  Model of the likelihood inference
似然推理模型
4)  both-branch fuzzy approximate reasoning
双枝模糊似然推理
1.
Proceeding with both-branch fuzzy judgment sentences,the paper provides the fundamental concept and characteristics of both-branch fuzzy inference,discusses both-branch fuzzy inference based on fuzzy relation and both-branch fuzzy approximate reasoning,and both branch reasoning method for multi-condition sentences.
从双枝模糊判断句入手,给出双枝模糊推理的基本概念和基本形式,讨论了基于模糊关系的双枝模糊推理和双枝模糊似然推理,以及条件语句的双枝模糊推理模型。
5)  plausible consequence
似然性推论
6)  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
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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