DocumentCode
1724719
Title
Genetic algorithm for ζ of degree of grey incidence based on maximizing deviations
Author
Meng Wei ; Li Jian ; Liu Si-feng ; Zeng Bo
Author_Institution
ECSCS Key Lab. of Chongqing, Chongqing Technol. & Bus. Univ., Chongqing, China
fYear
2011
Firstpage
145
Lastpage
148
Abstract
The grey incidence model occupies an important position in grey system theory. This paper studies the method about determining the discrimination coefficient ζ of Prof Deng´s degree of grey incidence based on maximizing deviations. Additionally, the genetic algorithm is employed to solve the discrimination coefficient ζ. The comparison of results of the two methods shows the effectiveness of the maximizing deviations method for determining the discrimination coefficient ζ.
Keywords
genetic algorithms; grey systems; deviation maximization; discrimination coefficient ζ degree; genetic algorithm; grey incidence model; grey system theory; Artificial neural networks; Industries; degree of grey incidence; genetic algorithm; grey incidence analysis; maximizing deviations;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-61284-490-9
Type
conf
DOI
10.1109/GSIS.2011.6043991
Filename
6043991
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