DocumentCode
525947
Title
Notice of Retraction
Decision method based on relational synthetic analysis
Author
Jing Zhang
Author_Institution
Comput. Network Center, Panzhihua Univ., Panzhihua, China
Volume
2
fYear
2010
fDate
12-13 June 2010
Firstpage
104
Lastpage
107
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.
Often in face of deciding schemes with many factors in production and life, relational analysis of the factors is an important basis of decision. The decision method is analyzed and studied to avoid strong subjectivity and improve weighting rationality. Optimization and entropy of information are used to adjust the weighting values of each factor and BP neural network to learn how to train assignment. According to principles of gray relation, a decision method based on gray relational synthetic analysis has been proposed, the decision model established and decision processing algorithm designed. The simulation with Matlab software proves the decision result is correct, which realizes the purpose of decision in the condition of multiple factors.
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.
Often in face of deciding schemes with many factors in production and life, relational analysis of the factors is an important basis of decision. The decision method is analyzed and studied to avoid strong subjectivity and improve weighting rationality. Optimization and entropy of information are used to adjust the weighting values of each factor and BP neural network to learn how to train assignment. According to principles of gray relation, a decision method based on gray relational synthetic analysis has been proposed, the decision model established and decision processing algorithm designed. The simulation with Matlab software proves the decision result is correct, which realizes the purpose of decision in the condition of multiple factors.
Keywords
backpropagation; decision making; entropy; grey systems; neural nets; BP neural network; Matlab software; backpropagation; decision method; decision processing algorithm; gray relational synthetic analysis; Artificial neural networks; Cities and towns; Computer languages; Entropy; Gallium nitride; Mathematical model; decision; entropy; gray relation; optimization; weighting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6944-4
Type
conf
DOI
10.1109/CCTAE.2010.5544179
Filename
5544179
Link To Document