| Comprehensive Assessment of Seawater Quality on an Improved Attribute Recognition Model |
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| 作者姓名： | ZHANG Libing CHENG Jilin JIN Juliang JIANG Xiaohong |
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| 作者单位： | [1]College of Civil Engineering, Hefei University of Technology, Hefei 230009, P. R. China [2]College of Hydraulic Engineering, Yangzhou University, Yangzhou 225009, P. R. China |
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| 基金项目： | Acknowledgements The authors would like to acknowledge the funding support of the National Natural Science Foundation of China （50579009, 70471090）, the National 10 th Five Year Scientific Project of China for Tackling the Key Problems （2004BA608B-02 - 02）, and the Excellence Youth Teacher Sustentation Fund Program of the Ministry of Education of China （Department of Education and Personnel [2002] 350）. |
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| 摘 要： | The attribute recognition model （ARM） has been widely used to make comprehensive assessment in many engineering fields, such as environment, ecology, and economy. However, large numbers of experiments indicate that the value of weight vector has no relativity to its initial value but depends on the data of Quality Standard and actual samples. In the present study, the ARM is enhanced with the technique of data driving, which means some more groups of data from the Quality Standard are selected with the uniform random method to make the calculation of weight values more rational and more scientific. This improved attribute recognition model （IARM） is applied to a real case of assessment on seawater quality. The given example shows that the IARM has the merits of being simple in principle, easy to operate, and capable of producing objective results, and is therefore of use in evaluation problems in marine environment science.
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| 关 键 词： | 海水水质 综合评价 改进属性识别模式 质量标准 权重值 |
| 收稿时间： | 2006-03-16 |
| 修稿时间： | 2006-08-08 |
Comprehensive Assessment of Seawater Quality on an Improved Attribute Recognition Model |
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| ZHANG Libing CHENG Jilin JIN Juliang JIANG Xiaohong.Comprehensive Assessment of Seawater Quality on an Improved Attribute Recognition Model[J].Journal of Ocean University of China,2006,5(4):300-304. |
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| Abstract: | |
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| Keywords: | comprehensive assessment seawater quality improved attribute recognition model |
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