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
Link To Document :
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