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Int. J. Environ. Res. Public Health 2014, 11(4), 3507-3520; doi:10.3390/ijerph110403507
Article

Water Quality Assessment in the Harbin Reach of the Songhuajiang River (China) Based on a Fuzzy Rough Set and an Attribute Recognition Theoretical Model

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Received: 9 January 2014; in revised form: 12 March 2014 / Accepted: 13 March 2014 / Published: 26 March 2014
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Abstract: A large number of parameters are acquired during practical water quality monitoring. If all the parameters are used in water quality assessment, the computational complexity will definitely increase. In order to reduce the input space dimensions, a fuzzy rough set was introduced to perform attribute reduction. Then, an attribute recognition theoretical model and entropy method were combined to assess water quality in the Harbin reach of the Songhuajiang River in China. A dataset consisting of ten parameters was collected from January to October in 2012. Fuzzy rough set was applied to reduce the ten parameters to four parameters: BOD5, NH3-N, TP, and F. coli (Reduct A). Considering that DO is a usual parameter in water quality assessment, another reduct, including DO, BOD5, NH3-N, TP, TN, F, and F. coli (Reduct B), was obtained. The assessment results of Reduct B show a good consistency with those of Reduct A, and this means that DO is not always necessary to assess water quality. The results with attribute reduction are not exactly the same as those without attribute reduction, which can be attributed to the α value decided by subjective experience. The assessment results gained by the fuzzy rough set obviously reduce computational complexity, and are acceptable and reliable. The model proposed in this paper enhances the water quality assessment system.
Keywords: fuzzy rough set; attribute recognition theoretical model; attribute reduction; water quality assessment fuzzy rough set; attribute recognition theoretical model; attribute reduction; water quality assessment
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

An, Y.; Zou, Z.; Li, R. Water Quality Assessment in the Harbin Reach of the Songhuajiang River (China) Based on a Fuzzy Rough Set and an Attribute Recognition Theoretical Model. Int. J. Environ. Res. Public Health 2014, 11, 3507-3520.

AMA Style

An Y, Zou Z, Li R. Water Quality Assessment in the Harbin Reach of the Songhuajiang River (China) Based on a Fuzzy Rough Set and an Attribute Recognition Theoretical Model. International Journal of Environmental Research and Public Health. 2014; 11(4):3507-3520.

Chicago/Turabian Style

An, Yan; Zou, Zhihong; Li, Ranran. 2014. "Water Quality Assessment in the Harbin Reach of the Songhuajiang River (China) Based on a Fuzzy Rough Set and an Attribute Recognition Theoretical Model." Int. J. Environ. Res. Public Health 11, no. 4: 3507-3520.



Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert