DocumentCode
3286236
Title
Notice of Retraction
Application of Grey Model in Fire Prediction
Author
Qiu Taorong ; Zhang Jifang ; Bai Xiaoming ; Bin, N.
Author_Institution
Dept. of Comput., Nanchang Univ., Nanchang, China
Volume
3
fYear
2009
fDate
15-17 May 2009
Firstpage
429
Lastpage
432
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.
Grey Model is with the characters of less date, high precision and without prior information. In the paper, a Grey Model GM (1, 1) and a Metabolizing Model are used for the fire prediction of some province and compared them to provide decision references for the concerning governments. The case shows that Grey Model is a simple process and effective practicality. GM (1, 1) is of higher precision and less prediction errors. Besides, fire protection of the province is still severe and should take close attention to it.
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.
Grey Model is with the characters of less date, high precision and without prior information. In the paper, a Grey Model GM (1, 1) and a Metabolizing Model are used for the fire prediction of some province and compared them to provide decision references for the concerning governments. The case shows that Grey Model is a simple process and effective practicality. GM (1, 1) is of higher precision and less prediction errors. Besides, fire protection of the province is still severe and should take close attention to it.
Keywords
data handling; decision making; fires; grey systems; Grey model; Grey system theory; decision references; fire prediction; metabolizing model; Application software; Data processing; Differential equations; Fires; Government; Information technology; Prediction methods; Predictive models; Protection; Uncertainty; 1); Grey Model (1; Grey Prediction; Grey System Theory; Metabolizing Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.362
Filename
5232152
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