2010Zhongguo anquan kexue xuebaoRequires access

Variable Fuzzy Recognition Method for Safety Pre-evaluation of Coal Mine

Kaili Xu

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Abstract

The safety pre-evaluation of coal mine involves a lot of uncertain information,it is difficult to obtain the reliable evaluation result by traditional methods.Therefore,the model and corresponding method of variable fuzzy pattern recognition was introduced into the field of coal mine safety,variable fuzzy recognition method of coal mine safety pre-evaluation was presented.Firstly the upper and lower bound of rank of samples was calculated by matrix of index feature value and index standard feature value.Then relative membership degree of samples was calculated by model of variable fuzzy pattern recognition.Further,rank feature value was obtained,and evaluation was made.Lastly,the method was applied to the safety evaluation of Shuanglong mine in Huangling,and its safety rank was gained.The results show that variable fuzzy recognition method can more accurately work out the safety rank of coal mine than the method in literature.This work provides a new approach for safety pre-evaluation of coal mine.

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What this paper is about

The safety pre-evaluation of coal mine involves a lot of uncertain information,it is difficult to obtain the reliable evaluation result by traditional methods.Therefore,the model and corresponding method of variable fuzzy pattern recognition was introduced into the field of coal mine safety,variable fuzzy recognition method of coal mine safety pre-evaluation was presented.Firstly the upper and lower bound of rank of samples was calculated by matrix of index feature value and index standard feature value.Then relative membership degree of samples was calculated by model of variable fuzzy pattern recognition.Further,rank feature value was obtained,and evaluation was made.Lastly,the method was applied to the safety evaluation of Shuanglong mine in Huangling,and its safety rank was gained.The results show that variable fuzzy recognition method can more accurately work out the safety rank of coal mine than the method in literature.This work provides a new approach for safety pre-evaluation of coal mine.

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Available abstract

The safety pre-evaluation of coal mine involves a lot of uncertain information,it is difficult to obtain the reliable evaluation result by traditional methods.Therefore,the model and corresponding method of variable fuzzy pattern recognition was introduced into the field of coal mine safety,variable fuzzy recognition method of coal mine safety pre-evaluation was presented.Firstly the upper and lower bound of rank of samples was calculated by matrix of index feature value and index standard feature value.Then relative membership degree of samples was calculated by model of variable fuzzy pattern recognition.Further,rank feature value was obtained,and evaluation was made.Lastly,the method was applied to the safety evaluation of Shuanglong mine in Huangling,and its safety rank was gained.The results show that variable fuzzy recognition method can more accurately work out the safety rank of coal mine than the method in literature.This work provides a new approach for safety pre-evaluation of coal mine.

Key concepts: Coal mining, Variable (mathematics), Fuzzy logic, Rank (graph theory), Data mining, Feature (linguistics), Mine safety, Coal

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