Fuzzy Identification Model of Safety Evaluation on Mining Condition in Coal Mine
Yang Li
Abstract
Yang Li
Abstract
Based on the variable fuzzy collection theory,a new safety evaluation model of the mining conditions in the mine,a fuzzy identification model,was established.The paper in detail stated the procedure of the model establishing.The model could be scientifically and rationally to set the sample index to the related attachment and the related attached function among the each class index standard and could rationally provide the evaluation classification of the sample and the high reputed evaluation results with the change of the model and the model parameters.The cases showed that the calculation process of the model was simple and clear and the calculation results were reliable.The model not only could quantitatively measure the safety level of the mining conditions in the mine and could have a dynamic evaluation on the safety mining in the mine in order to provide the basis of the effective decision for the coal mine safety supervision department.
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Based on the variable fuzzy collection theory,a new safety evaluation model of the mining conditions in the mine,a fuzzy identification model,was established.The paper in detail stated the procedure of the model establishing.The model could be scientifically and rationally to set the sample index to the related attachment and the related attached function among the each class index standard and could rationally provide the evaluation classification of the sample and the high reputed evaluation results with the change of the model and the model parameters.The cases showed that the calculation process of the model was simple and clear and the calculation results were reliable.The model not only could quantitatively measure the safety level of the mining conditions in the mine and could have a dynamic evaluation on the safety mining in the mine in order to provide the basis of the effective decision for the coal mine safety supervision department.
Key concepts: Coal mining, Mine safety, Identification (biology), Fuzzy logic, Data mining, Sample (material), Process (computing), Index (typography)