On fuzzy recognition of water quality risk source
Kong Ke, Zhenghe Xu · 2010
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.