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A Fuzzy Reasoning Algorithm in Hybrid Causality Diagram

机译:混合因果图的模糊推理算法

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This paper discussed the reasoning algorithm of hybrid causality diagram with fuzzy method, it map continuous-value into discrete states mainly, and this algorithm can also deal with fuzzy multi-value causality diagram, continuous-value causality diagram. The construction steps of membership functions were developed, the probability of event state was proposed. The calculation method of posterior probability of the interesting variable was given when evidence received, and the corresponding calculation formula is derived. This theoretical construct in this paper provides a new inference engine for inference under two types of uncertainty: fuzziness and randomness. At last, two examples are given which show that the algorithm is effective.
机译:本文采用模糊方法讨论了混合因果图的推理算法,主要将连续值映射成离散状态,该算法还可以处理模糊多值因果图,连续值因果图。制定了隶属函数的构造步骤,并提出了事件状态的概率。给出证据后给出了感兴趣变量后验概率的计算方法,并推导了相应的计算公式。本文的理论结构为两种不确定性提供了一种新的推理引擎:模糊性和随机性。最后给出了两个例子,表明该算法是有效的。

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