DocumentCode
3341792
Title
Notice of Retraction
Application of Multi-Element Connection Number Model Based on Entropy Weight to Assessment of Air Environmental Quality
Author
Chen Guang-Zhou ; Wang Jia-Quan ; Li Chuan-Jun
Author_Institution
Dept. of Environ. Eng., Anhui Univ. of Archit., Hefei, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
It is of importance to accurately assess air quality in environmental planning and protection. In view of the uncertainty of assessment indicators, set pair analysis theory is proposed. The samples are preliminarily classified by computing the connection degree between the samples and the assessment standard. Then the samples are further ranked through calculating the identity, difference and contrary degrees. The weights of indicators are obtained by information entropy. Finally, the multi-element connection number assessment model coupling with entropy weight is constructed. The assessment result is satisfactory through a case study. Compared with the other methods, the model has the characteristics of preciseness and reasonableness. So it is an effective method for the environmental comprehensive assessment.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
It is of importance to accurately assess air quality in environmental planning and protection. In view of the uncertainty of assessment indicators, set pair analysis theory is proposed. The samples are preliminarily classified by computing the connection degree between the samples and the assessment standard. Then the samples are further ranked through calculating the identity, difference and contrary degrees. The weights of indicators are obtained by information entropy. Finally, the multi-element connection number assessment model coupling with entropy weight is constructed. The assessment result is satisfactory through a case study. Compared with the other methods, the model has the characteristics of preciseness and reasonableness. So it is an effective method for the environmental comprehensive assessment.
Keywords
air pollution; atmospheric techniques; entropy; air environmental quality; air quality assessment; entropy weight; environmental planning; environmental protection; information entropy; multielement connection number assessment model; set pair analysis theory; Analytical models; Atmospheric modeling; Decision making; Entropy; Monitoring; Quality assessment; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5781312
Filename
5781312
Link To Document