Safety Evaluation of Underground Environment Using Fuzzy Approach with Dynamic Weight

Article Preview

Abstract:

Evaluating underground environmental safety is not an easy task as it involves many variable evaluation indexes which are immeasurable, vague and uncertain. Also, the available information for evaluation may be incomplete due to the difficulty of underground data acquisition and complexity of the influence factors. Considering the different effect of various evaluation indexes on underground environmental safety in different conditions, a dynamical weight algorithm of various indexes is presented. The fuzzy evaluation method with dynamic weight is applied in evaluating underground environmental safety at one of the coal mines in YangQuan coal industry. Findings conclude that the proposed dynamic weight method is better than the traditional method, which gives a promising prospect in underground environmental safety evaluation. And it provides a more reasonable and intelligent evaluation with accurate results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Pages:

3815-3820

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang T. Gas control technology for coal mine[M]. Bei jing: Coal Industry Press, 2001. (In Chinese)

Google Scholar

[2] XING Y. Urban environment for prediction and evaluation information system [M]. Wu han: China University of Geosciences Press, 2006. (In Chinese)

Google Scholar

[3] Pan F, Fu Q, Liang C . Applying fuzzy judgment in the study of water environment quality evaluation[J]. Environmental Engineering. 2002, 20(02): 58-61.

Google Scholar

[4] L.A. Zadeh, Fuzzy sets[M]. Information and Control, 1965, 338-353.

Google Scholar

[5] Cao Q, Ruan J, Liu K. Fuzzy evaluation on the safety of coal gas station based on a new algorithm of membership degree transformation[J]. Journal of the China Coal Society. 2010, 35(3): 467-471.

Google Scholar

[6] Sun H, Yan X, Li X. Application of fuzzy-evaluation-based information fusion in coal mine environment monitoring system[C]. Beijing, China: IEEE Computer Society, 2009.

DOI: 10.1109/icemi.2009.5274141

Google Scholar

[7] Hu Y. Comprehensive evaluation[M]. Beijing: Science Press, 2000. (In Chinese)

Google Scholar

[8] Lakov D. Fuzzy sets and fuzzy logic, theory and applications : George J. Or and Bo Yuan Prentice Hall, Englewood Cliffs, NJ[J]. Fuzzy Sets and Systems. 1996, 84(1): 114.

DOI: 10.1016/0165-0114(96)82406-7

Google Scholar

[9] Guh Y, Hon C, Wang K. Fuzzy weighted average: A max-min paired elimination method[J]. Computers & Mathematics with Applications. 1996, 32(8): 115-123.

DOI: 10.1016/0898-1221(96)00171-x

Google Scholar