Water eutrophication assessment based on rough set and multidimensional cloud model
文献类型：期刊论文
| 作者 | Yan, Huyong1,2,3; Wu, Di1,2,3 ; Huang, Yu1; Wang, Guoyin1,2; Shang, Mingsheng1,2; Xu, Jianjun1,2; Shi, Xiaoyu1,2; Shan, Kun1,2; Zhou, Botian1,2; Zhao, Yufei4
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| 刊名 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
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| 出版日期 | 2017-05-15 |
| 卷号 | 164页码:103-112 |
| 关键词 | Eutrophication Rough set Multidimensional cloud model |
| ISSN号 | 0169-7439 |
| DOI | 10.1016/j.chemolab.2017.02.005 |
| 通讯作者 | Wang, GY (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Big Data Min & Applicat Ctr, Chongqing 400714, Peoples R China. ; Wang, GY (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China. |
| 英文摘要 | This investigation developed a hybrid rough set (RST) and multidimensional cloud model (RSMCM) to leverage the unique strengths of RST and cloud modeling to evaluate the trophic level. In the proposed hybrid model, RST is used to decrease the data scale and extract the qualitative rules, and the multidimensional cloud model is employed to quantitatively analyze the average values, uniformity and stability of water eutrophication. The experimental results reveal that the hybrid model achieves more accurate assessment results than other mainstream models. Therefore, the hybrid model is a promising alternative for a water eutrophication information system and offers a quantitative measure for evaluating the uniformity and stability of eutrophication in utilities management and for operations staff. |
| 资助项目 | National Natural Science Foundation of China[51609229] ; National Natural Science Foundation of China[61572091] ; Chongqing Research Program of Basic Research and Frontier Technology[cstc2015jcyjB0244] ; Application Development Plan Project of Chongqing[cstc2014yykfC0053] ; National Science and Technology Major Project of China[2014ZX07104-006] |
| WOS研究方向 | Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000400716100013 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://172.16.51.4:88/handle/2HOD01W0/226]  |
| 专题 | 大数据挖掘及应用中心 太赫兹技术研究中心 |
| 通讯作者 | Wang, Guoyin |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Big Data Min & Applicat Ctr, Chongqing 400714, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Yubei Municipal Gardens Bur, Chongqing 401120, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Huyong,Wu, Di,Huang, Yu,et al. Water eutrophication assessment based on rough set and multidimensional cloud model[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2017,164:103-112. |
| APA | Yan, Huyong.,Wu, Di.,Huang, Yu.,Wang, Guoyin.,Shang, Mingsheng.,...&Zhao, Yufei.(2017).Water eutrophication assessment based on rough set and multidimensional cloud model.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,164,103-112. |
| MLA | Yan, Huyong,et al."Water eutrophication assessment based on rough set and multidimensional cloud model".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 164(2017):103-112. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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