期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 164, 期 -, 页码 103-112出版社
ELSEVIER
DOI: 10.1016/j.chemolab.2017.02.005
关键词
Eutrophication; Rough set; Multidimensional cloud model
类别
资金
- National Natural Science Foundation of China [51609229, 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]
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.
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