Water eutrophication assessment based on rough set and multidimensional cloud model

被引：27
|
作者：
Yan, Huyong [1 ,2 ,3 ]
Wu, Di [1 ,2 ,3 ]
Huang, Yu [1 ]
Wang, Guoyin [1 ,2 ]
Shang, Mingsheng [1 ,2 ]
Xu, Jianjun [1 ,2 ]
Shi, Xiaoyu [1 ,2 ]
Shan, Kun [1 ,2 ]
Zhou, Botian [1 ,2 ]
Zhao, Yufei [4 ]
机构：
[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
来源：
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2017年 / 164卷
基金：
中国国家自然科学基金;
关键词：
Eutrophication; Rough set; Multidimensional cloud model; LAKE EUTROPHICATION; QUALITY; RIVER; GROUNDWATER;
D O I：
10.1016/j.chemolab.2017.02.005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：103 / 112
页数：10
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