在某种程度的定义的下的，因果关系是模糊的。
Cause and effect below a certain level of definition is blurred.
所以理论上学习效应和规模效应不同，尽管实际操作中由于不确定性和模糊的因果关系可能很难区分它们。
Thus learning effects are theoretically distinct from scale effects, even if in practice they my be hard to differentiate due to e.g. uncertainty and causal ambiguity.
研究表明模糊因果图能有效地用于故障分析，比原来的因果图方法具有更大的灵活性和适应性。
The research shows that Fuzzy Causality Diagram is so effective in fault analysis, and it is more flexible and adaptive than conventional method.
指称在因果描述理论和直接指称的因果链条中是同样模糊的。
This suggest indirectly that reference of proper names in the causal description theory and the casual chain of direct reference are equally vague.
在此基础上提出了基于多种概率的模糊因果图混合推理方法，以处理精确概率值、语言值和模糊概率值等多种概率。
In this paper, a mixed reasoning method of single-value FCD was proposed to deal with the reasoning of CD with multifold probabilities such as fuzzy Numbers, lingual values, accurate probabilities.
方法：用VENSIM软件绘出系统因果关系图，采用模糊综合评判法评价系统。
Methods: using VENSIM soft to draw the system, and then using fuzzy comprehensive evaluation method to evaluate system.
同时这些问题的存在与功能定位的模糊有着必然的因果关系。
Meanwhile, these problems have inevitable consequences with the vague function orientation.
在此基础上，又提出基于模糊状态描述的新型不确定因果归纳自动推理机制，并讨论其在智能控制器研制中的应用。
On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward. At the end of this paper its app…
在此基础上，又提出基于模糊状态描述的新型不确定因果归纳自动推理机制，并讨论其在智能控制器研制中的应用。
On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward. At the end of this paper its app…
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