Water eutrophication assessment based on rough set and multidimensional cloud model

doi:10.1016/j.chemolab.2017.02.005

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Water eutrophication assessment based on rough set and multidimensional cloud model
	Yan, Huyong 1,2,3; Wu, Di1,2,3 ; Huang, Yu1 ; Wang, Guoyin 1,2; Shang, Mingsheng1,2 ; Xu, Jianjun1,2 ; Shi, Xiaoyu1,2 ; Shan, Kun1,2 ; Zhou, Botian1,2 ; Zhao, Yufei 4
刊名	CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
	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
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000400716100013
内容类型	期刊论文
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.