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
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;
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
DOI :
10.1109/GSIS.2011.6043991
