Application of an Evaluation Model Based on Fuzzy Mathematica to Ganjiang River Water Quality

机译：模糊数学评价模型在赣江水质中的应用

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The author chiefly introduces a comprehensive evaluation model for water quality which was established based on the fuzzy approximate deduction and the maximum membership degree principle. Its application to Ganjiang River in Ganzhou city area water quality assessment, evaluation results: In rainy period, water quality is at Grade???and Grade???, In flat water period, water quality is at Grade???and Grade???, in dry season, quality is at Grade???, Grade??? and Grade ???.

机译：作者主要介绍了基于模糊近似推导和最大隶属度原理建立的水质综合评价模型。在赣州市赣江地区水质评价中的应用，评价结果为：雨季水质为一级，二级;平水期水质为一级，二级。 ??，在干燥季节，质量处于等级???，等级???和等级???。

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《2010 International Conference on Artificial Intelligence and Computational Intelligence》|2010年|P.508-511|共4页
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Xiujuan Feng; Li Du; Peiyun Chen; Feng Shun;
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中图分类人工智能理论;
关键词
evaluation model; fuzzy membership; fuzzy membership function; water quality assessment;

机译：评价模型;模糊隶属度;模糊隶属度函数;水质评价;

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Application of an Evaluation Model Based on Fuzzy Mathematica to Ganjiang River Water Quality

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