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

机译：粗糙集理论在重金属污染评价中的应用

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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.

机译：铅，汞和镉等作为重金属污染成立关系数据模型的主要评价指标。介绍了粗糙集理论，使用现有算法（组合手术人）来填充缺失值。数据预处理后，使用本文提出的DBMAS算法计算重金属污染因子的重要程度，以便为重质金属污染评估提供更客观的评价指标体重。

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《International Conference on Intelligent System and Applied Material》|2014年||共4页
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作者
Hongfeng Ma; Conghua lan; Xuhua Miao;
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原文格式 PDF
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中图分类 TB3-532;
关键词
Rough set; Heavy metal pollution; Evaluation index; DBMAS algorithm;

机译：粗糙集;重金属污染;评价指标;DBMAS算法;

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

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