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[求助]
自动化工业论文 求翻译 谢谢啦
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The forward and backward cloud generators are the most important algorithms in cloud modeling. Considering that a practical problem obeys or approximately obeys the normal distribution, the normal cloud generator can be regarded as a basic cloud generator. The forward cloud generator is the uncertainty transition model between a basic concept and its value, mapping from qualitative to quantitative data. According to the three digital characteristics (Ex , En, He),the forward cloud generator can generate Drop(xi , ui ), as shown in Fig. 2, where xi is the quantity value and ui is the membership degree of xi . The algorithm of the forward cloud generator can be summarized as follows. 1) Generate a normally distributed random number xi with mean value Ex and standard deviation En 2) Calculate ui 3) The Drop(xi , ui ) reflects the whole content transforming from qualitative data to quantitative data. 4) Repeat steps 1)–3) until the Nth cloud droplet is Generated |
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