Title :
Fuzzy statistics model of air quality health in public and its application
Author :
Dongsheng, Chen ; Xiangjun, Xin
Author_Institution :
Dept. of Math. & Inf. Sci., Zhengzhou Univ. of Light Ind., Zhengzhou, China
Abstract :
Based on the health standard of air quality in public places and its grade bounds prescribed by the state, the evaluation grades are classified. A mathematical model is established by using fuzzy mathematics methods, and the quantify indexes in the model are described by using the maximum membership rule. Compared with the traditional evaluation model, ours makes the evaluation results more objective and reasonable. Our model makes the evaluation more accurate and perfect. The computer software corresponding to our model is designed, which can be used to the air quality detection in practice. Practice proves the efficiency and reliability of our software.
Keywords :
air pollution; fuzzy set theory; health and safety; public administration; statistical analysis; air quality detection; air quality health standard; computer software efficiency; computer software reliability; evaluation grades; evaluation model; fuzzy mathematics method; fuzzy statistics model; mathematical model; maximum membership rule; public place; Atmospheric modeling; Computational modeling; Indexes; Industries; Mathematical model; Quality assessment; air quality; evaluation; fuzzy membership; index system;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777630
