DocumentCode
1647824
Title
Notice of Retraction
Fuzzy evidential warning of grain security
Author
Yong Deng ; Jianling Xu
Author_Institution
Key Lab. of Digital Agric. Early-warning Technol., Minist. of Agric. of China, Beijing, China
Volume
3
fYear
2010
Firstpage
703
Lastpage
706
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.
Grain security warning is very important for decision making of government. How to present a reasonable warning is still an open issue. Due to the uncertainty in the grain security warning process, it is reasonable to construct prediction model under the framework of fuzzy sets theory and Dempster Shafer evidence theory. In this paper, a fuzzy evidential grain security warning method is proposed. The warning model can be seen as a multi-attribute decision making (MADM) problem. The data of each attribute are combined through the Demspter rule.
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.
Grain security warning is very important for decision making of government. How to present a reasonable warning is still an open issue. Due to the uncertainty in the grain security warning process, it is reasonable to construct prediction model under the framework of fuzzy sets theory and Dempster Shafer evidence theory. In this paper, a fuzzy evidential grain security warning method is proposed. The warning model can be seen as a multi-attribute decision making (MADM) problem. The data of each attribute are combined through the Demspter rule.
Keywords
agricultural safety; crops; decision making; decision theory; fuzzy set theory; government policies; inference mechanisms; uncertainty handling; Dempster Shafer evidence theory; fuzzy evidential grain security warning method; fuzzy sets theory; government decision making; grain security warning process; multiattribute decision making problem; prediction model; Manganese; Medical services; Desmpeter Shafer evidence theory; MADM; data fusion; fuzzy sets theory; grain security warnning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6931-4
Type
conf
DOI
10.1109/ICAMS.2010.5552870
Filename
5552870
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