Title :
Multi-factor degree set pair analysis fuzzy model to evaluate lake water quality
Author :
Lin-lin Gong ; Huang, Qiang ; Guang-she Wang ; Zhang Ze-zhong
Author_Institution :
Inst. of Water Resources & Hydro-Electr. Eng., Xi´an Univ. of Technol., Xi´an, China
Abstract :
Considering the fuzzy feature in assessment, The set pair analysis has been developed by the concepts of the main same, supper same, assimilation degree and the new grades law. The multi-factors degree set pair analysis fuzzy evaluation model has been established and been applied to evaluate the water quality of lake in West Lake and Qinghai Lake. The results show that new evaluation method is feasible and can effectively evaluate water quality of level.
Keywords :
fuzzy systems; hydrological techniques; lakes; water quality; China; Qinghai Lake; West Lake; assimilation degree analysis; fuzzy evaluation model; lake water quality evaluation; multifactor degree set pair analysis; Artificial neural networks; Barium; Lakes; Silicon; Xenon; lake water quality; multi-factors degree fuzzy evaluation; set pair analysis;
Conference_Titel :
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-339-1
DOI :
10.1109/ISWREP.2011.5893632
