Optimizing the atmospheric sampling sites using fuzzy mathematic methods.
A new approach applying fuzzy mathematic theorems, including the Primary Matrix Element Theorem and the Fisher Classification Method, was established to solve the optimization problem of atmospheric environmental sampling sites. According to its basis, an application in the optimization of sampling sites in the atmospheric environmental monitoring was discussed. The method was proven to be suitable and effective. The results were admitted and applied by the Environmental Protection Bureau (EPB) of many cities of China. A set of computer software of this approach was also completely compiled and used.
Fang
Chun-sheng
CS
College of Environment and Resources, Jilin University, Changchun 130023, China. fangcs@mail.jlu.edu.cn
Wang
Ju
J
Dong
De-ming
DM
Yu
Lian-sheng
LS
D000393:Air Pollutants / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D017143:Fuzzy Logic; D008962:Models, Theoretical; D018401:Sample Size; D013048:Specimen Handling
D000393:Air Pollutants