DocumentCode
3395452
Title
On fuzzy recognition of water quality risk source
Author
Kong, Ke ; Xu, Zheng-he
Author_Institution
College of Resources and Environment, University of Jinan, China
Volume
2
fYear
2010
fDate
30-31 May 2010
Firstpage
634
Lastpage
637
Abstract
Recognition of water quality risk sources is a kind of problem which needs to compare the fuzzy closeness degree between sample risk vectors and standard risk vectors. The method to obtain certain risk sources´ standard risk vectors is studied. In order to reduce the complexity, the knowledge reduction technology based on rough set theory is used to analyze key quality indexes, which then is used to fuzzy identification of surface water sources based on lattice close-degree; and a sample from experiment area is analyzed to show the methods.
Keywords
Automation; Educational institutions; Lattices; Mechatronics; Rough surfaces; Set theory; Surface contamination; Surface roughness; Water pollution; Water resources; fuzzy recognition; lattice close-degree; risk sources; rough set; water quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-1-4244-7653-4
Type
conf
DOI
10.1109/ICINDMA.2010.5538228
Filename
5538228
Link To Document