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.
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
Link To Document :
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