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- W2377112108 abstract "Coal mine accidents have brought huge disasters to mankind,resulting in heavy casualties,incalculable injuries and loss of properties.In order to effectively response to accidents probably happening in coal mine,a quantified classification model of accident early-warning for coal mine was established,and its computing framework was studied.The effecting factors of accident early-warning classification were determined from two aspects of accident and emergency management.The weights of each effecting factors were determined using analytic hierarchical process(AHP),and early-warning classification was determined by multi-level fuzzy synthetic evaluation(FSE).The early-warning classification of rock burst accident for a coal mine was used as an example to validate the model.The results showed that AHP and FSE can be combined to calculate the classification of accident early-warning for coal mine,so as to effectively reduce the losses caused by accidents." @default.
- W2377112108 created "2016-06-24" @default.
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- W2377112108 date "2012-01-01" @default.
- W2377112108 modified "2023-09-23" @default.
- W2377112108 title "Classification Model of Accident Early-warning for Coal Mine Based on AHP-Fuzzy Synthetic Evaluation and Its Application" @default.
- W2377112108 hasPublicationYear "2012" @default.
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