An Fuzzy Petri Net Model of Accident Evolution Process of Coal and Gas Outburst

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This article has proposed an accident evolution model of coal and gas outburst on the basis of fuzzy production rules, because the coal and gas outburst accident has the characteristic of fuzziness and uncertainty. Firstly, adverse searching method is used to reduce the initial model so as to decrease the size of the inference network and accelerate reasoning rate. And then fuzzy inference is carried out by use of parallel inference algorithms of great algebra in order to ensure more accurate infer conclusions. At the end of this article, the validity of the model is verified by an engineering example. From the conclusion, it can be found that this model can well simulate the status and role of a number of risk factors during the whole coal and gas outburst accident evolution process.

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3079-3084

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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