DocumentCode
519517
Title
Fuzzy synthetic evaluation of atmospheric environment quality based on entropy weight
Author
Dai, Honghou ; Shi, Chenghua ; Zhou, Xiaojing
Author_Institution
Educ. Adm., Handan Coll., Handan, China
Volume
1
fYear
2010
fDate
17-18 April 2010
Firstpage
43
Lastpage
46
Abstract
Considering the difficulties of calculation and the defects that the relationship among evaluation objects are ignored when using Fuzzy synthetic Evaluation Method to determine weights to the multi-factors, this paper put forward a new idea of determining weights to the Multi-objective evaluation factors using information entropy. The differences of determining weights using Entropy method and the method of over standard with weight was compared in the weight calculation of evaluating indicators by using the fuzzy mathematics through using the atmosphere monitoring datas of 10 monitoring points in the city of Changchun. The results showed that when the evaluation involves a number of evaluation objects using this method was very convenient for fuzzy synthetic evaluation. Only one calculation was enough and it need not to calculate every monitoring point. This method predigested the fuzzy synthetic evaluation process greatly and the evaluation results were objective and reasonable.
Keywords
air pollution measurement; atmospheric techniques; entropy; environmental science computing; fuzzy logic; geophysical signal processing; Changchun city; China; atmosphere monitoring data; atmospheric environment quality evaluation; entropy weight; fuzzy mathematics; fuzzy synthetic evaluation method; information entropy; multiobjective evaluation factors; Atmosphere; Cities and towns; Ecosystems; Educational institutions; Fuzzy sets; Fuzzy systems; Information entropy; Information theory; Monitoring; Water resources; Atmospheric environment quality; Evaluation; Fuzzy; Information entropy; Weight;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-5514-0
Type
conf
DOI
10.1109/EDT.2010.5496543
Filename
5496543
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