Improved Fuzzy Equilibrium Average Type Comprehensive Evaluation Method in the Application of Water Quality Evaluation

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Abstract:

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.

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Periodical:

Advanced Materials Research (Volumes 779-780)

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1619-1622

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jingzhang Yin, Jing Fu, Ying Xie, Weidong Zai, Zhaoqiang Zhang. Improved Fuzzy Mathematical Evaluation Method in Dezhou Application in the Evaluation of Groundwater Quality, J. Water Environment Evaluation Research. 12(2010)22-25.

Google Scholar

[2] Shuizhen Zhang, Ling Liu, Fuzzy Comprehensive Evaluation Method Applied in the Evaluation of Water Quality-in the Songhua River Basin as an Example, J. Environmental Science and Management. 36(2011)163-165.

Google Scholar

[3] Zhiliang Wang, Nannan Li, Xianqi Zhang, Zili Shi. Dan River Water Environmental Quality Assessment and Pollution Research Evolution Characteristics, J. Journal of North China Institute of Water Conservancy and Hydroelectric Power. 31(2010) 83-86.

Google Scholar

[4] Bo Wang, Zhiqiang Yang, Huiying Li, Xiaoming Du, Weijin Qin, Fasheng Li. Songhua River Basin Water Environment Quality Evaluation Based on Fuzzy Math and GIS, J. Research of Environmental Sciences. 21(2008)124-129.

Google Scholar

[5] Shuili Chen, Jinggong Li, Xianggong Wang. Fuzzy Set Theory and its Applications, first ed., Science Press, Beijing, (2005).

Google Scholar