Fuzzy reasoning in continuous causality diagram

Based on the characteristic of causality diagram knowledge expression and according to fuzzy logic methodology, a new approach dealing with continuous cases is presented in this paper. The fuzzy mapping relation between every event variable and every reader variable was made; the fuzzy knowledge can be expressed with membership functions. The calculation method of posterior probability of the interesting variable when evidence received is given, and derived the corresponding calculation formula. And a complete solution, which is a mixed reasoning model compatible with continuous and discrete, has also been put forward.