Application of Rough Set Theory in the Evaluation of Heavy Metal Pollution

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Abstract:

Lead, Mercury and Cadmium etc as the main evaluation index of heavy metal pollution established relational data model. The rough set theory is introduced, use the existing algorithm (Combinatorial Completer) to fill the missing value. After data preprocessing, use the DBMAS algorithm proposed in the paper to calculate the important degree of heavy metal pollution factors, in order to provides a more objective evaluation index weight for evaluation of heavy metal pollution.

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Advanced Materials Research (Volumes 1049-1050)

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1403-1406

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] L. Li,K.N. Wu,L. Zhang and Q.L. Lv: Chinese Journal of Soil Science, Vol 39(2008)No. 5, pp.1164-1168.

Google Scholar

[2] S.X. Fan Z.T. Gan and M.J. Li etc: Chinese Agricultural Science Bulletin , Vol 26(2010)No. 17, pp.310-315.

Google Scholar

[3] C.K. Li,L.D. Wang and Y. Li etc: MINERAL RESOURCES AND GEOLOGY, Vol 25(2011)No. 2, pp.172-176.

Google Scholar

[4] C.G. Feng and Y.Z. Li: Journal of Safety and Environment, Vol 8(2008)No 5, 112-115.

Google Scholar

[5] S.S. Hu and Y.Q. He: Rough Decision Ttheory and Application(Beihang University Press, China 2006).

Google Scholar

[6] C.H. Lan and F.J. Wang: Industrial instrumentation & Automation, Vol. 236(2014)No. 2, pp.113-116.

Google Scholar