DocumentCode :
3284576
Title :
Notice of Retraction
The Forecast of Tornado Variety Based on Function S-rough Sets
Author :
Zhao Jiang ; Qiu Taorong ; Nie Bin ; Li Wen ; Wang Weili
Author_Institution :
Environ. Inf. Center Jiangxi Province, Nanchang, China
Volume :
3
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
40
Lastpage :
42
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.

The tornado speed is estimated according to its path length and width, but sometimes from the information detected by the Dopper radar, we found that the path length and the width of the tornado did not have intersection in wind speed ranks. Although the forecast of the wind speed rank is accurate, the wind speed may change owing to other unknown factors. Because it, these information is rough from its character which could not to express in accurate math´s methods. We choose the max of the wind speed from any possibility in wind speed estimation, and forecast the wind speed possible change in the variational condition based on function singular rough sets. It was proved to be feasible and effective after tested.
Keywords :
Doppler radar; rough set theory; storms; weather forecasting; Dopper radar; function s-rough sets; tornado forecast; wind speed rank; Application software; Information technology; Radar applications; Radar detection; Rough sets; Technology forecasting; Testing; Tornadoes; Wind forecasting; Wind speed; Function Singular Rough Sets; Path Length; Path Width; Tornado;
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.2009.235
Filename :
5232054
Link To Document :
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