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In order to overcomes some shortages of Belief Network dynamic causality diagram is put forward. Its knowledge expression, reasoning, probability computing and also the model of causality diagram used for system fault diagnosis, the model constructing method and reasoning algorithm are proposed. At last, an application example in the fault diagnosis of the nuclear power plant is given which shows...
Causality diagram is a probabilistic reasoning method. Fuzzy set theory was introduced to develop causality diagram methodology after discussing the development and the restriction of conventional causality diagram. The application of causality diagram is extended to fuzzy field by introducing fuzzy set theory. Fuzzy causality diagram can overcome the shortcomings that it is difficult to gain the...
This paper discussed the reasoning algorithm of multi-value fuzzy causality diagram (MFCD) because the previous research on FCD only aimed at single-value, without dealing with multi-value. With the discussing of reasoning problem of MFCD a guideline to solve the problem was introduced, and a normalization method of fuzzy probability of event state was proposed to preprocess data. Based on the idea...
Reasoning algorithm of single-value fuzzy causality diagram (SFCD) cannot directly apply to multi-value fuzzy causality diagram (MFCD). So it is necessary to study reasoning algorithm of MFCD. Firstly, with the discussing of reasoning problem of MFCD in this paper, a guideline to solve the problem is introduced, and a normalization method of fuzzy probability of event state is proposed to preprocess...
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