DocumentCode :
527596
Title :
Application of fuzzy excessive criterion model to determine source of inrush water in Xieqiao mine
Author :
Qian, Jiazhong ; Zhang, Chunlei ; Fang, Liangcheng ; Gao, Zhiqiang ; Wang, Lulu
Author_Institution :
Sch. of Resources & Environ. Eng., Heifei Univ. of Technol., Hefei, China
Volume :
1
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
159
Lastpage :
162
Abstract :
The conventional six ions screening the characteristics of groundwater are selected, the fuzzy comprehension evaluation model is applied, and the excessive criterion weight method is employed to build groundwater inrush water discrimination model in coalmine. Take Xieqiao mine in Huainan for example, the results of fuzzy comprehension evaluation mode are compared with those of the gray correlation model and neural network model. Results show that the fuzzy excessive criterion model could determine the source of inrush water and the accuracy is superior to those of Gray correlation model and neural network model. The Fuzzy excessive criterion model is of simple calculation process and stable structure. By this method the source of inrush water can be realized quickly and efficiently determine. This method is of further application values for inrush water determination in coalmine.
Keywords :
coal; fuzzy set theory; mining; neural nets; Xieqiao Mine; coalmine; fuzzy comprehension evaluation; fuzzy excessive criterion model; gray correlation model; groundwater; inrush water; neural network model; Area measurement; Artificial neural networks; Data models; Mathematical model; Predictive models; Surges; Water resources; Fuzzy excessive criterion model; coal mine; determination; source of inrush water;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583309
Filename :
5583309
Link To Document :
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