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Water eutrophication assessment based on rough set and multidimensional cloud model
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
2017-05-15
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.
关键词Eutrophication Rough set Multidimensional cloud model
DOI10.1016/j.chemolab.2017.02.005
发表期刊CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
ISSN0169-7439
卷号164页码:103-112
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.
收录类别SCI
WOS记录号WOS:000400716100013
语种英语