title: Optimizing the atmospheric sampling sites using fuzzy mathematic methods.
abstract: 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.
authors.affiliation: College of Environment and Resources, Jilin University, Changchun 130023, China. fangcs@mail.jlu.edu.cn
authors.forename: Chun-sheng
authors.initials: CS
authors.lastname: Fang
authors.forename: Ju
authors.initials: J
authors.lastname: Wang
authors.forename: De-ming
authors.initials: DM
authors.lastname: Dong
authors.forename: Lian-sheng
authors.initials: LS
authors.lastname: Yu
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D017143:Fuzzy Logic; D008962:Models, Theoretical; D018401:Sample Size; D013048:Specimen Handling
chemical_list: D000393:Air Pollutants