DocumentCode
1935239
Title
Notice of Retraction
Modeling of urban security assessment based on attribute recognition theory
Author
Xiaoyan Tao
Author_Institution
Sch. of Econ. & Manage., Zhongyuan Univ. of Technol., Zhengzhou, China
Volume
5
fYear
2010
fDate
9-11 July 2010
Firstpage
615
Lastpage
619
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.
With deterioration of ecological environment, study on ecological security assessment has become an important area in geoscience, ecology and ecological economics. This paper constructed an assessment indicator system of urban ecological security. The indicator system included vigor, organization, resilience, maintenance of ecosystem service and human health. Then it established an assessment model of urban ecological security based on the conceptions of attribute recognition theory such as attribute sets, attribute measure, ordered partition class and confidence criterion. The paper used analytic hierarchy process and entropy method to endow indicators weights. Finally the paper assessed security conditions of Guangzhou from 1991 to 2007. The results show that there is a tendency of gradual improvement in ecological security conditions of Guangzhou, which improve from “relatively insecure” to “critically secure” grade. Attribute recognition theory is scientific and simple and is widely applied in evaluation and forecasting.
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.
With deterioration of ecological environment, study on ecological security assessment has become an important area in geoscience, ecology and ecological economics. This paper constructed an assessment indicator system of urban ecological security. The indicator system included vigor, organization, resilience, maintenance of ecosystem service and human health. Then it established an assessment model of urban ecological security based on the conceptions of attribute recognition theory such as attribute sets, attribute measure, ordered partition class and confidence criterion. The paper used analytic hierarchy process and entropy method to endow indicators weights. Finally the paper assessed security conditions of Guangzhou from 1991 to 2007. The results show that there is a tendency of gradual improvement in ecological security conditions of Guangzhou, which improve from “relatively insecure” to “critically secure” grade. Attribute recognition theory is scientific and simple and is widely applied in evaluation and forecasting.
Keywords
decision making; ecology; entropy; health and safety; town and country planning; analytic hierarchy process; assessment indicator system; attribute recognition theory; ecological economics; ecological environment; ecological security assessment; ecological security conditions; ecology; ecosystem service; entropy method; geoscience; human health; urban ecological security; urban security assessment; Biological system modeling; Cities and towns; Economic indicators; Ecosystems; Humans; Resilience; Silicon; analytic hierarchy process; attribute recognition; ecological security; entropy method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563870
Filename
5563870
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