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

fYear

2011

fDate

15-17 April 2011

Firstpage

5051

Lastpage

5053

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777630

Filename

5777630